J. Zico Kolter

According to our database, J. Zico Kolter authored at least 221 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Text Descriptions are Compressive and Invariant Representations for Visual Learning.

Zhili Feng, Anna Bair, J. Zico Kolter

Trans. Mach. Learn. Res., 2024

Finetuning CLIP to Reason about Pairwise Differences.

Dylan Sam, Devin Willmott, João D. Semedo, J. Zico Kolter

CoRR, 2024

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models.

Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu

CoRR, 2024

Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers.

Joshua Nathaniel Williams, Avi Schwarzschild, J. Zico Kolter

CoRR, 2024

FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers.

Joshua Nathaniel Williams, J. Zico Kolter

CoRR, 2024

Consistency Models Made Easy.

Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico Kolter

CoRR, 2024

Understanding Hallucinations in Diffusion Models through Mode Interpolation.

Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

CoRR, 2024

Improving Alignment and Robustness with Circuit Breakers.

Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks

CoRR, 2024

Neural Network Verification with Branch-and-Bound for General Nonlinearities.

Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang

CoRR, 2024

Computing Low-Entropy Couplings for Large-Support Distributions.

Samuel Sokota, Dylan Sam, Christian Schröder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter

CoRR, 2024

Rethinking LLM Memorization through the Lens of Adversarial Compression.

Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

CoRR, 2024

Forcing Diffuse Distributions out of Language Models.

Yiming Zhang, Avi Schwarzschild, Nicholas Carlini, Zico Kolter, Daphne Ippolito

CoRR, 2024

Predicting the Performance of Foundation Models via Agreement-on-the-Line.

Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, Zico Kolter, Aditi Raghunathan

CoRR, 2024

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation.

Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter

CoRR, 2024

AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs.

Victor Akinwande, J. Zico Kolter

CoRR, 2024

Massive Activations in Large Language Models.

Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu

CoRR, 2024

Bayesian Neural Networks with Domain Knowledge Priors.

Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter

CoRR, 2024

An Axiomatic Approach to Model-Agnostic Concept Explanations.

Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter

CoRR, 2024

TOFU: A Task of Fictitious Unlearning for LLMs.

Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter

CoRR, 2024

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression.

Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Simple and Effective Pruning Approach for Large Language Models.

Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Update-Equivalence Framework for Decision-Time Planning.

Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown

Proceedings of the Twelfth International Conference on Learning Representations, 2024

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning.

Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Joint Interaction of Models, Data, and Features.

Yiding Jiang, Christina Baek, J. Zico Kolter

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Manifold Preserving Guided Diffusion.

Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Why is SAM Robust to Label Noise?

Christina Baek, J. Zico Kolter, Aditi Raghunathan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding prompt engineering may not require rethinking generalization.

Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DART: Implicit Doppler Tomography for Radar Novel View Synthesis.

Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers.

Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic.

Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Patches Are All You Need?

Asher Trockman, J. Zico Kolter

Trans. Mach. Learn. Res., 2023

Monotone deep Boltzmann machines.

Zhili Feng, Ezra Winston, J. Zico Kolter

Trans. Mach. Learn. Res., 2023

Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation.

Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter

CoRR, 2023

Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning.

Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter

CoRR, 2023

TorchDEQ: A Library for Deep Equilibrium Models.

Zhengyang Geng, J. Zico Kolter

CoRR, 2023

On the Neural Tangent Kernel of Equilibrium Models.

Zhili Feng, J. Zico Kolter

CoRR, 2023

Reliable Test-Time Adaptation via Agreement-on-the-Line.

Eungyeup Kim, Mingjie Sun, Aditi Raghunathan, Zico Kolter

CoRR, 2023

Representation Engineering: A Top-Down Approach to AI Transparency.

Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks

CoRR, 2023

Universal and Transferable Adversarial Attacks on Aligned Language Models.

Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson

CoRR, 2023

Importance of equivariant and invariant symmetries for fluid flow modeling.

Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan

CoRR, 2023

Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning.

Zhili Feng, Anna Bair, J. Zico Kolter

CoRR, 2023

Localized Text-to-Image Generation for Free via Cross Attention Control.

Yutong He, Ruslan Salakhutdinov, J. Zico Kolter

CoRR, 2023

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation.

Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar

CoRR, 2023

Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single.

Paul Vicol, Zico Kolter, Kevin Swersky

CoRR, 2023

Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport.

Mukul Bhutani, J. Zico Kolter

CoRR, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

CoRR, 2023

Adversarial robustness in discontinuous spaces via alternating sampling & descent.

Rahul Venkatesh, Eric Wong, Zico Kolter

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Neural Functional Transformers.

Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning with Explanation Constraints.

Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Equilibrium Based Neural Operators for Steady-State PDEs.

Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models are Weak Learners.

Hariharan Manikandan, Yiding Jiang, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Bounding Neural Network Preimages.

Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Importance of Exploration for Generalization in Reinforcement Learning.

Yiding Jiang, J. Zico Kolter, Roberta Raileanu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-Step Diffusion Distillation via Deep Equilibrium Models.

Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning.

Swaminathan Gurumurthy, Zachary Manchester, J. Zico Kolter

Proceedings of the Learning for Dynamics and Control Conference, 2023

Deep Off-Policy Iterative Learning Control.

Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester

Proceedings of the Learning for Dynamics and Control Conference, 2023

Mimetic Initialization of Self-Attention Layers.

Asher Trockman, J. Zico Kolter

Proceedings of the International Conference on Machine Learning, 2023

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games.

Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown

Proceedings of the International Conference on Machine Learning, 2023

Can Neural Network Memorization Be Localized?

Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang

Proceedings of the International Conference on Machine Learning, 2023

Understanding Why Generalized Reweighting Does Not Improve Over ERM.

Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Perfectly Secure Steganography Using Minimum Entropy Coupling.

Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Understanding the Covariance Structure of Convolutional Filters.

Asher Trockman, Devin Willmott, J. Zico Kolter

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.

Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

(Certified!!) Adversarial Robustness for Free!

Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth.

Filipe de Avila Belbute-Peres, J. Zico Kolter

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Model-tuning Via Prompts Makes NLP Models Adversarially Robust.

Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Single Image Backdoor Inversion via Robust Smoothed Classifiers.

Mingjie Sun, Zico Kolter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Finetune like you pretrain: Improved finetuning of zero-shot vision models.

Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes.

Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction.

Dylan Sam, J. Zico Kolter

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games.

Chun Kai Ling, J. Zico Kolter, Fei Fang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

(Certified!!) Adversarial Robustness for Free!

Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter

CoRR, 2022

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness.

Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde

CoRR, 2022

Dojo: A Differentiable Simulator for Robotics.

Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester

CoRR, 2022

General Cutting Planes for Bound-Propagation-Based Neural Network Verification.

Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation.

Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Equilibrium Approaches to Diffusion Models.

Ashwini Pokle, Zhengyang Geng, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Pitfalls of Regularization in Off-Policy TD Learning.

Gaurav Manek, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Characterizing Datapoints via Second-Split Forgetting.

Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Options via Compression.

Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Test Time Adaptation via Conjugate Pseudo-labels.

Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift.

Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation.

Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks.

Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

Proceedings of the International Conference on Machine Learning, 2022

Communicating via Markov Decision Processes.

Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster

Proceedings of the International Conference on Machine Learning, 2022

Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation.

Colin Wei, J. Zico Kolter

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Fine-Tuning Approach to Belief State Modeling.

Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

Proceedings of the Tenth International Conference on Learning Representations, 2022

Assessing Generalization of SGD via Disagreement.

Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Deep Equilibrium Solvers.

Shaojie Bai, Vladlen Koltun, J. Zico Kolter

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation.

Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi

Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Equilibrium Optical Flow Estimation.

Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting.

Shaoru Chen, Eric Wong, J. Zico Kolter, Mahyar Fazlyab

CoRR, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification.

Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

CoRR, 2021

You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries.

Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter

CoRR, 2021

Boosted CVaR Classification.

Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification.

Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Monte Carlo Tree Search With Iteratively Refining State Abstractions.

Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robustness between the worst and average case.

Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds.

Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations.

Zhichun Huang, Shaojie Bai, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Joint inference and input optimization in equilibrium networks.

Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarially robust learning for security-constrained optimal power flow.

Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes.

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DORO: Distributional and Outlier Robust Optimization.

Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar

Proceedings of the 38th International Conference on Machine Learning, 2021

On Proximal Policy Optimization's Heavy-tailed Gradients.

Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar

Proceedings of the 38th International Conference on Machine Learning, 2021

RATT: Leveraging Unlabeled Data to Guarantee Generalization.

Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton

Proceedings of the 38th International Conference on Machine Learning, 2021

Stabilizing Equilibrium Models by Jacobian Regularization.

Shaojie Bai, Vladlen Koltun, J. Zico Kolter

Proceedings of the 38th International Conference on Machine Learning, 2021

Orthogonalizing Convolutional Layers with the Cayley Transform.

Asher Trockman, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Provably robust classification of adversarial examples with detection.

Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Estimating Lipschitz constants of monotone deep equilibrium models.

Chirag Pabbaraju, Ezra Winston, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Multiplicative Filter Networks.

Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

DC3: A learning method for optimization with hard constraints.

Priya L. Donti, David Rolnick, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Enforcing robust control guarantees within neural network policies.

Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability.

Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning perturbation sets for robust machine learning.

Eric Wong, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

A Bayesian Model of Cash Bail Decisions.

Joshua Williams, J. Zico Kolter

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization.

Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits.

Leonid Boytsov, Zico Kolter

Proceedings of the Advances in Information Retrieval, 2021

Defending Multimodal Fusion Models Against Single-Source Adversaries.

Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Provably Safe PAC-MDP Exploration Using Analogies.

Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Challenging common interpretability assumptions in feature attribution explanations.

Jonathan Dinu, Jeffrey P. Bigham, J. Zico Kolter

CoRR, 2020

Poisoned classifiers are not only backdoored, they are fundamentally broken.

Mingjie Sun, Siddhant Agarwal, J. Zico Kolter

CoRR, 2020

Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks.

Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter

CoRR, 2020

A community-powered search of machine learning strategy space to find NMR property prediction models.

Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants

CoRR, 2020

Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes.

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

CoRR, 2020

Provably robust deep generative models.

Filipe Condessa, J. Zico Kolter

CoRR, 2020

Black-box Smoothing: A Provable Defense for Pretrained Classifiers.

Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

CoRR, 2020

Monotone operator equilibrium networks.

Ezra Winston, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Community detection using fast low-cardinality semidefinite programming
.

Po-Wei Wang, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Denoised Smoothing: A Provable Defense for Pretrained Classifiers.

Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient semidefinite-programming-based inference for binary and multi-class MRFs.

Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Archimedean Copulas.

Chun Kai Ling, Fei Fang, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multiscale Deep Equilibrium Models.

Shaojie Bai, Vladlen Koltun, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications.

Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing.

Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter

Proceedings of the 37th International Conference on Machine Learning, 2020

Overfitting in adversarially robust deep learning.

Leslie Rice, Eric Wong, J. Zico Kolter

Proceedings of the 37th International Conference on Machine Learning, 2020

Adversarial Robustness Against the Union of Multiple Perturbation Models.

Pratyush Maini, Eric Wong, J. Zico Kolter

Proceedings of the 37th International Conference on Machine Learning, 2020

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction.

Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter

Proceedings of the 37th International Conference on Machine Learning, 2020

Fast is better than free: Revisiting adversarial training.

Eric Wong, Leslie Rice, J. Zico Kolter

Proceedings of the 8th International Conference on Learning Representations, 2020

Differentiable learning of numerical rules in knowledge graphs.

Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter

Proceedings of the 8th International Conference on Learning Representations, 2020

A Framework for robustness Certification of Smoothed Classifiers using F-Divergences.

Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli

Proceedings of the 8th International Conference on Learning Representations, 2020

AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning.

Rizal Fathony, J. Zico Kolter

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Dynamic Modeling and Equilibria in Fair Decision Making.

Joshua Williams, J. Zico Kolter

CoRR, 2019

Adversarial Music: Real World Audio Adversary Against Wake-word Detection System.

Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze

CoRR, 2019

Black-box Adversarial Attacks with Bayesian Optimization.

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter

CoRR, 2019

On Physical Adversarial Patches for Object Detection.

Mark Lee, J. Zico Kolter

CoRR, 2019

The Limited Multi-Label Projection Layer.

Brandon Amos, Vladlen Koltun, J. Zico Kolter

CoRR, 2019

Perceptual Based Adversarial Audio Attacks.

Joseph Szurley, J. Zico Kolter

CoRR, 2019

Generalization in Deep Networks: The Role of Distance from Initialization.

Vaishnavh Nagarajan, J. Zico Kolter

CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.

Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman

Commun. ACM, 2019

Uniform convergence may be unable to explain generalization in deep learning.

Vaishnavh Nagarajan, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Stable Deep Dynamics Models.

J. Zico Kolter, Gaurav Manek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Equilibrium Models.

Shaojie Bai, J. Zico Kolter, Vladlen Koltun

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Differentiable Convex Optimization Layers.

Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Music: Real world Audio Adversary against Wake-word Detection System.

Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations.

Eric Wong, Frank R. Schmidt, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial camera stickers: A physical camera-based attack on deep learning systems.

Juncheng Li, Frank R. Schmidt, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

Certified Adversarial Robustness via Randomized Smoothing.

Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience.

Vaishnavh Nagarajan, J. Zico Kolter

Proceedings of the 7th International Conference on Learning Representations, 2019

Trellis Networks for Sequence Modeling.

Shaojie Bai, J. Zico Kolter, Vladlen Koltun

Proceedings of the 7th International Conference on Learning Representations, 2019

Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring.

Henning Lange, Mario Bergés, J. Zico Kolter

Proceedings of the IEEE International Conference on Acoustics, 2019

A Continuous-Time View of Early Stopping for Least Squares Regression.

Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Multimodal Transformer for Unaligned Multimodal Language Sequences.

Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Low-Rank Semidefinite Programming for the MAX2SAT Problem.

Po-Wei Wang, J. Zico Kolter

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games.

Chun Kai Ling, Fei Fang, J. Zico Kolter

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Shaojie Bai, J. Zico Kolter, Vladlen Koltun

CoRR, 2018

Realtime Query Completion via Deep Language Models.

Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Scaling provable adversarial defenses.

Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Differentiable Physics for Learning and Control.

Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differentiable MPC for End-to-end Planning and Control.

Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games.

Chun Kai Ling, Fei Fang, J. Zico Kolter

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope.

Eric Wong, J. Zico Kolter

Proceedings of the 35th International Conference on Machine Learning, 2018

Convolutional Sequence Modeling Revisited.

Shaojie Bai, J. Zico Kolter, Vladlen Koltun

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Intelligent Pothole Detection and Road Condition Assessment.

Umang Bhatt, Shouvik Mani, Edgar Xi, J. Zico Kolter

CoRR, 2017

The Mixing method: coordinate descent for low-rank semidefinite programming.

Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter

CoRR, 2017

Task-based End-to-end Model Learning.

Priya L. Donti, Brandon Amos, J. Zico Kolter

CoRR, 2017

Gradient descent GAN optimization is locally stable.

Vaishnavh Nagarajan, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Task-based End-to-end Model Learning in Stochastic Optimization.

Priya L. Donti, J. Zico Kolter, Brandon Amos

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Input Convex Neural Networks.

Brandon Amos, Lei Xu, J. Zico Kolter

Proceedings of the 34th International Conference on Machine Learning, 2017

OptNet: Differentiable Optimization as a Layer in Neural Networks.

Brandon Amos, J. Zico Kolter

Proceedings of the 34th International Conference on Machine Learning, 2017

A Semismooth Newton Method for Fast, Generic Convex Programming.

Alnur Ali, Eric Wong, J. Zico Kolter

Proceedings of the 34th International Conference on Machine Learning, 2017

Polynomial Optimization Methods for Matrix Factorization.

Po-Wei Wang, Chun-Liang Li, J. Zico Kolter

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Hierarchical modeling of systems with similar components: A framework for adaptive monitoring and control.

Milad Memarzadeh, Matteo Pozzi, J. Zico Kolter

Reliab. Eng. Syst. Saf., 2016

Computational approaches for efficient scheduling of steel plants as demand response resource.

Xiao Zhang, Gabriela Hug, J. Zico Kolter, Iiro Harjunkoski

Proceedings of the Power Systems Computation Conference, 2016

The Multiple Quantile Graphical Model.

Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Epigraph projections for fast general convex programming.

Po-Wei Wang, Matt Wytock, J. Zico Kolter

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Optimal Planning and Learning in Uncertain Environments for the Management of Wind Farms.

Milad Memarzadeh, Matteo Pozzi, J. Zico Kolter

J. Comput. Civ. Eng., 2015

Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization.

Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

An SVD and Derivative Kernel Approach to Learning from Geometric Data.

Eric Wong, J. Zico Kolter

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

An Additive Autoregressive Hidden Markov Model for Energy Disaggregation.

Kirstin Early, J. Zico Kolter

Proceedings of the Computational Sustainability, 2015

2014

Fast Newton methods for the group fused lasso.

Matt Wytock, Suvrit Sra, Jeremy Z. Kolter

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Contextually Supervised Source Separation with Application to Energy Disaggregation.

Matt Wytock, J. Zico Kolter

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Fast Algorithm for Sparse Controller Design.

Matt Wytock, J. Zico Kolter

CoRR, 2013

A moving horizon state estimator in the control of thermostatically controlled loads for demand response.

Emre Can Kara, J. Zico Kolter, Mario Berges, Bruce H. Krogh, Gabriela Hug, Tugçe Yüksel

Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting.

Matt Wytock, J. Zico Kolter

Proceedings of the 30th International Conference on Machine Learning, 2013

Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields.

Matt Wytock, J. Zico Kolter

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation.

J. Zico Kolter, Tommi S. Jaakkola

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Design, analysis, and learning control of a fully actuated micro wind turbine.

J. Zico Kolter, Zachary Jackowski, Russ Tedrake

Proceedings of the American Control Conference, 2012

2011

The Stanford LittleDog: A learning and rapid replanning approach to quadruped locomotion.

J. Zico Kolter, Andrew Y. Ng

Int. J. Robotics Res., 2011

The Fixed Points of Off-Policy TD.

J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Towards fully autonomous driving: Systems and algorithms.

Jesse Levinson, Jake Askeland, Jan Becker, Jennifer Dolson, David Held, Sören Kammel, J. Zico Kolter, Dirk Langer, Oliver Pink, Vaughan R. Pratt, Michael Sokolsky, Ganymed Stanek, David Michael Stavens, Alex Teichman, Moritz Werling, Sebastian Thrun

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

A Large-Scale Study on Predicting and Contextualizing Building Energy Usage.

J. Zico Kolter, Joseph Ferreira Jr.

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Learning and control with inaccurate models.

J. Zico Kolter

PhD thesis, 2010

Energy Disaggregation via Discriminative Sparse Coding.

J. Zico Kolter, Siddharth Batra, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving.

J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Policy search via the signed derivative.

J. Zico Kolter, Andrew Y. Ng

Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Task-space trajectories via cubic spline optimization.

J. Zico Kolter, Andrew Y. Ng

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Stereo vision and terrain modeling for quadruped robots.

J. Zico Kolter, Youngjun Kim, Andrew Y. Ng

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Regularization and feature selection in least-squares temporal difference learning.

J. Zico Kolter, Andrew Y. Ng

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Near-Bayesian exploration in polynomial time.

J. Zico Kolter, Andrew Y. Ng

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

A control architecture for quadruped locomotion over rough terrain.

J. Zico Kolter, Mike P. Rodgers, Andrew Y. Ng

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Space-indexed dynamic programming: learning to follow trajectories.

J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway

Proceedings of the Machine Learning, 2008

2007

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts.

J. Zico Kolter, Marcus A. Maloof

J. Mach. Learn. Res., 2007

Learning omnidirectional path following using dimensionality reduction.

J. Zico Kolter, Andrew Y. Ng

Proceedings of the Robotics: Science and Systems III, 2007

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion.

J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Learning to Detect and Classify Malicious Executables in the Wild.

Jeremy Z. Kolter, Marcus A. Maloof

J. Mach. Learn. Res., 2006

2005

Using additive expert ensembles to cope with concept drift.

Jeremy Z. Kolter, Marcus A. Maloof

Proceedings of the Machine Learning, 2005

2004

Learning to detect malicious executables in the wild.

Jeremy Z. Kolter, Marcus A. Maloof

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.

Jeremy Z. Kolter, Marcus A. Maloof

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003