Oluwasanmi Koyejo

CoRR, 2024

Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4.

[BibT_eX]

[DOI]

CoRR, 2024

Optimization and Generalization Guarantees for Weight Normalization.

[BibT_eX]

[DOI]

Zhijie Chen

Arindam Banerjee

CoRR, 2024

Building a Domain-specific Guardrail Model in Production.

[BibT_eX]

[DOI]

CoRR, 2024

When Do Universal Image Jailbreaks Transfer Between Vision-Language Models?

[BibT_eX]

[DOI]

CoRR, 2024

Open Problems in Technical AI Governance.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

[BibT_eX]

[DOI]

CoRR, 2024

Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

In-Context Learning of Energy Functions.

[BibT_eX]

[DOI]

Rylan Schaeffer

Mikail Khona

CoRR, 2024

Quantifying Variance in Evaluation Benchmarks.

[BibT_eX]

[DOI]

CoRR, 2024

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading.

[BibT_eX]

[DOI]

CoRR, 2024

Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.

[BibT_eX]

[DOI]

CoRR, 2024

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Ensembling For Mitigating Reward Overoptimisation.

[BibT_eX]

[DOI]

CoRR, 2024

On Fairness of Low-Rank Adaptation of Large Models.

[BibT_eX]

[DOI]

CoRR, 2024

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data.

[BibT_eX]

[DOI]

Matthias Gerstgrasser

CoRR, 2024

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Associative Memory and Probabilistic Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Machine Unlearning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Laws for Downstream Task Performance of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Investigating Data Contamination for Pre-training Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Trustworthy Large Language Models.

[BibT_eX]

[DOI]

Alexander Nicholas D'Amour

Bo Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Transforming and Combining Rewards for Aligning Large Language Models.

[BibT_eX]

[DOI]

Victor Veitch

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance.

[BibT_eX]

[DOI]

Junzhe Zhu

Peiye Zhuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting.

[BibT_eX]

[DOI]

Enyi Jiang

Yibo Jacky Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa.

[BibT_eX]

[DOI]

Mercy Nyamewaa Asiedu

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

Invariant Aggregator for Defending against Federated Backdoor Attacks.

[BibT_eX]

[DOI]

Xiaoyang Wang

Dimitrios Dimitriadis

Shruti Tople

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Proxy Methods for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Causally Inspired Regularization Enables Domain General Representations.

[BibT_eX]

[DOI]

Olawale Salaudeen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Adaptive Compression in Federated Learning via Side Information.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Towards Fault-Tolerant Federated and Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Incidental Polysemanticity.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to (Learn at Test Time).

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Goodness-of-Fit of Attributed Probabilistic Graph Generative Models.

[BibT_eX]

[DOI]

Pablo Robles-Granda

Katherine Tsai

CoRR, 2023

Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting.

[BibT_eX]

[DOI]

CoRR, 2023

Deceptive Alignment Monitoring.

[BibT_eX]

[DOI]

CoRR, 2023

FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation.

[BibT_eX]

[DOI]

CoRR, 2023

Is Pre-training Truly Better Than Meta-Learning?

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data.

[BibT_eX]

[DOI]

Alycia Lee

Brando Miranda

CoRR, 2023

Communication-Efficient Federated Learning through Importance Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions.

[BibT_eX]

[DOI]

CoRR, 2023

Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa.

[BibT_eX]

[DOI]

Mercy Nyamewaa Asiedu

CoRR, 2023

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Domain Adaptation via Gradient Projection.

[BibT_eX]

[DOI]

Enyi Jiang

Yibo Jacky Zhang

CoRR, 2023

Finite-sample guarantees for Nash Q-learning with linear function approximation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

[BibT_eX]

[DOI]

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

Are Emergent Abilities of Large Language Models a Mirage?

[BibT_eX]

[DOI]

Rylan Schaeffer

Brando Miranda

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

Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells.

[BibT_eX]

[DOI]

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

Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Cooperative Inverse Decision Theory for Uncertain Preferences.

[BibT_eX]

[DOI]

Hantao Zhang

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

One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Boxiang Lyu

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

Adapting to Latent Subgroup Shifts via Concepts and Proxies.

[BibT_eX]

[DOI]

Ibrahim Alabdulmohsin

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

2022

Toward a Controllable Disentanglement Network.

[BibT_eX]

[DOI]

Zengjie Song

Jiangshe Zhang

IEEE Trans. Cybern., 2022

A Nonconvex Framework for Structured Dynamic Covariance Recovery.

[BibT_eX]

[DOI]

Katherine Tsai

J. Mach. Learn. Res., 2022

Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations.

[BibT_eX]

[DOI]

Olawale Salaudeen

CoRR, 2022

Metric Elicitation; Moving from Theory to Practice.

[BibT_eX]

[DOI]

CoRR, 2022

Batch Active Learning from the Perspective of Sparse Approximation.

[BibT_eX]

[DOI]

CoRR, 2022

Latent Multimodal Functional Graphical Model Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing.

[BibT_eX]

[DOI]

CoRR, 2022

Invariant Aggregator for Defending Federated Backdoor Attacks.

[BibT_eX]

[DOI]

Xiaoyang Wang

Dimitrios Dimitriadis

Shruti Tople

CoRR, 2022

The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence.

[BibT_eX]

[DOI]

CoRR, 2022

One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Boxiang Lyu

CoRR, 2022

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.

[BibT_eX]

[DOI]

CoRR, 2022

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?

[BibT_eX]

[DOI]

Jessica Schrouff

Natalie Harris

Ibrahim Alabdulmohsin

Alan Karthikesalingam

Katherine A. Heller

Silvia Chiappa

Alexander D'Amour

CoRR, 2022

ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security.

[BibT_eX]

[DOI]

Algorithms, 2022

Quadratic metric elicitation for fairness and beyond.

[BibT_eX]

[DOI]

Jatin Mathur

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Fair Wrapping for Black-box Predictions.

[BibT_eX]

[DOI]

Alexander Soen

Ibrahim M. Alabdulmohsin

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

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.

[BibT_eX]

[DOI]

Jessica Schrouff

Natalie Harris

Ibrahim M. Alabdulmohsin

Alan Karthikesalingam

Katherine A. Heller

Silvia Chiappa

Alexander D'Amour

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

CoPur: Certifiably Robust Collaborative Inference via Feature Purification.

[BibT_eX]

[DOI]

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

A Reduction to Binary Approach for Debiasing Multiclass Datasets.

[BibT_eX]

[DOI]

Ibrahim M. Alabdulmohsin

Jessica Schrouff

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

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2022

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision.

[BibT_eX]

[DOI]

Xiaoyang Wang

Klara Nahrstedt

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Fully Automated Conversion Of Glioma Clinical MRI Scans Into A 3D Virtual Reality Model For Presurgical Planning.

[BibT_eX]

[DOI]

Proceedings of the Annual Modeling and Simulation Conference, 2022

Controllable Radiance Fields for Dynamic Face Synthesis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

2021

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

Ananda Theertha Suresh

Found. Trends Mach. Learn., 2021

Does MAML Only Work via Feature Re-use? A Data Centric Perspective.

[BibT_eX]

[DOI]

Brando Miranda

Yu-Xiong Wang

CoRR, 2021

Joint Gaussian Graphical Model Estimation: A Survey.

[BibT_eX]

[DOI]

Katherine Tsai

CoRR, 2021

Secure Byzantine-Robust Distributed Learning via Clustering.

[BibT_eX]

[DOI]

Raj Kiriti Velicheti

Derek Xia

CoRR, 2021

A Field Guide to Federated Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task.

[BibT_eX]

[DOI]

Brain Informatics, 2021

Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning To Recover Sharp Detail From Simulated Low-Dose Ct Studies.

[BibT_eX]

[DOI]

Patrick Cole

Ayis Pyrros

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability.

[BibT_eX]

[DOI]

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

Optimizing Black-box Metrics with Iterative Example Weighting.

[BibT_eX]

[DOI]

Jatin Mathur

Mahdi Milani Fard

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

Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation.

[BibT_eX]

[DOI]

Peiye Zhuang

Alexander G. Schwing

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

Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective.

[BibT_eX]

[DOI]

Jacky Zhang

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

2020

Quadratic Metric Elicitation with Application to Fairness.

[BibT_eX]

[DOI]

Jatin Mathur

CoRR, 2020

Bayesian Coresets: An Optimization Perspective.

[BibT_eX]

[DOI]

Jacky Y. Zhang

CoRR, 2020

Does Adversarial Transferability Indicate Knowledge Transferability?

[BibT_eX]

[DOI]

CoRR, 2020

Fairness with Overlapping Groups.

[BibT_eX]

[DOI]

Forest Yang

Moustapha Cissé

CoRR, 2020

Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information.

[BibT_eX]

[DOI]

CoRR, 2020

Towards A Controllable Disentanglement Network.

[BibT_eX]

[DOI]

Zengjie Song

Jiangshe Zhang

CoRR, 2020

Fairness with Overlapping Groups; a Probabilistic Perspective.

[BibT_eX]

[DOI]

Forest Yang

Mouhamadou Cisse

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

CSER: Communication-efficient SGD with Error Reset.

[BibT_eX]

[DOI]

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

Fair Performance Metric Elicitation.

[BibT_eX]

[DOI]

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

A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure.

[BibT_eX]

[DOI]

Ran Liu

Cem Subakan

Aishwarya H. Balwani

Jennifer D. Whitesell

Julie Harris

Eva L. Dyer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

On the consistency of top-k surrogate losses.

[BibT_eX]

[DOI]

Forest Yang

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

Zeno++: Robust Fully Asynchronous SGD.

[BibT_eX]

[DOI]

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

Optimization and Analysis of the pAp@k Metric for Recommender Systems.

[BibT_eX]

[DOI]

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

Towards a Deep Network Architecture for Structured Smoothness.

[BibT_eX]

[DOI]

Haroun Habeeb

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

Some New Tricks for Deep Glioma Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Dependent relevance determination for smooth and structured sparse regression.

[BibT_eX]

[DOI]

Anqi Wu

Jonathan W. Pillow

J. Mach. Learn. Res., 2019

Learning Controllable Disentangled Representations with Decorrelation Regularization.

[BibT_eX]

[DOI]

Zengjie Song

Jiangshe Zhang

CoRR, 2019

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

Ananda Theertha Suresh

CoRR, 2019

Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates.

[BibT_eX]

[DOI]

CoRR, 2019

Consistent Classification with Generalized Metrics.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Practical Distributed Learning: Secure Machine Learning with Communication-Efficient Local Updates.

[BibT_eX]

[DOI]

CoRR, 2019

Asynchronous Federated Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Clustered Monotone Transforms for Rating Factorization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Joint Nonparametric Precision Matrix Estimation with Confounding.

[BibT_eX]

[DOI]

Sinong Geng

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

SLSGD: Secure and Efficient Distributed On-device Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Sparse Distributions using Iterative Hard Thresholding.

[BibT_eX]

[DOI]

Jacky Y. Zhang

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

Multiclass Performance Metric Elicitation.

[BibT_eX]

[DOI]

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

FMRI Data Augmentation Via Synthesis.

[BibT_eX]

[DOI]

Peiye Zhuang

Alexander G. Schwing

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance.

[BibT_eX]

[DOI]

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

Partially Linear Additive Gaussian Graphical Models.

[BibT_eX]

[DOI]

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

Max-Sliced Wasserstein Distance and Its Use for GANs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Interpreting Black Box Predictions using Fisher Kernels.

[BibT_eX]

[DOI]

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

Performance Metric Elicitation from Pairwise Classifier Comparisons.

[BibT_eX]

[DOI]

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

Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials.

[BibT_eX]

[DOI]

Yogatheesan Varatharajah

Brent M. Berry

Ravishankar K. Iyer

CoRR, 2018

xGEMs: Generating Examplars to Explain Black-Box Models.

[BibT_eX]

[DOI]

CoRR, 2018

Eliciting Binary Performance Metrics.

[BibT_eX]

[DOI]

CoRR, 2018

Zeno: Byzantine-suspicious stochastic gradient descent.

[BibT_eX]

[DOI]

CoRR, 2018

Phocas: dimensional Byzantine-resilient stochastic gradient descent.

[BibT_eX]

[DOI]

CoRR, 2018

Learning the Base Distribution in Implicit Generative Models.

[BibT_eX]

[DOI]

Y. Cem Sübakan

Paris Smaragdis

CoRR, 2018

Generalized Byzantine-tolerant SGD.

[BibT_eX]

[DOI]

CoRR, 2018

Clustered Fused Graphical Lasso.

[BibT_eX]

[DOI]

Yizhi Zhu

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Binary Classification with Karmic, Threshold-Quasi-Concave Metrics.

[BibT_eX]

[DOI]

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

Bayesian Structure Learning for Dynamic Brain Connectivity.

[BibT_eX]

[DOI]

Michael Riis Andersen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition.

[BibT_eX]

[DOI]

Timothy N. Rubin

Krzysztof J. Gorgolewski

Michael N. Jones

Tal Yarkoni

PLoS Comput. Biol., 2017

What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level.

[BibT_eX]

[DOI]

Ro'ee Gilron

Jonathan D. Rosenblatt

Roy Mukamel

NeuroImage, 2017

A Deflation Method for Structured Probabilistic PCA.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Consistency Analysis for Binary Classification Revisited.

[BibT_eX]

[DOI]

Krzysztof Dembczynski

Wojciech Kotlowski

Nagarajan Natarajan

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

Information Projection and Approximate Inference for Structured Sparse Variables.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Frequency Domain Predictive Modelling with Aggregated Data.

[BibT_eX]

[DOI]

Avradeep Bhowmik

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Rényi divergence minimization based co-regularized multiview clustering.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain.

[BibT_eX]

[DOI]

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

Examples are not enough, learn to criticize! Criticism for Interpretability.

[BibT_eX]

[DOI]

Been Kim

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

Preference Completion from Partial Rankings.

[BibT_eX]

[DOI]

Suriya Gunasekar

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

Optimal Classification with Multivariate Losses.

[BibT_eX]

[DOI]

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

Sparse Parameter Recovery from Aggregated Data.

[BibT_eX]

[DOI]

Avradeep Bhowmik

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

A Simple and Provable Algorithm for Sparse Diagonal CCA.

[BibT_eX]

[DOI]

Megasthenis Asteris

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

2015

Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives.

[BibT_eX]

[DOI]

James M. Shine

Peter T. Bell

Krzysztof J. Gorgolewski

Moran Gilat

NeuroImage, 2015

Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics.

[BibT_eX]

[DOI]

CoRR, 2015

Consistent Multilabel Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes.

[BibT_eX]

[DOI]

Shalmali Joshi

Kristine Resurreccion

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data.

[BibT_eX]

[DOI]

Shalmali Joshi

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Sparse Submodular Probabilistic PCA.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Generalized Linear Models for Aggregated Data.

[BibT_eX]

[DOI]

Avradeep Bhowmik

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

A constrained matrix-variate Gaussian process for transposable data.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Sparse Bayesian structure learning with dependent relevance determination priors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Consistent Binary Classification with Generalized Performance Metrics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On Prior Distributions and Approximate Inference for Structured Variables.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Toward open sharing of task-based fMRI data: the OpenfMRI project.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2013

The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking

[BibT_eX]

[DOI]

CoRR, 2013

Constrained Bayesian Inference for Low Rank Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Retargeted matrix factorization for collaborative filtering.

[BibT_eX]

[DOI]

Sreangsu Acharyya

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Constrained Gaussian Process Regression for Gene-Disease Association.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Identifying candidate disease genes using a trace norm constrained bipartite raking model.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Bayesian Structure Learning for Functional Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Learning to Rank With Bregman Divergences and Monotone Retargeting.

[BibT_eX]

[DOI]

Sreangsu Acharyya

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Reports of the AAAI 2010 Fall Symposia.

[BibT_eX]

[DOI]

AI Mag., 2011

A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

2010

Reports of the AAAI 2009 Fall Symposia.

[BibT_eX]

[DOI]

Roger Azevedo

Trevor J. M. Bench-Capon

Alexei V. Samsonovich

Donia Scott

Richard Souvenir

AI Mag., 2010

Preface: Manifold Learning and Its Applications.

[BibT_eX]

[DOI]

Richard Souvenir

Proceedings of the Manifold Learning and Its Applications, 2010

Organizing Committee.

[BibT_eX]

[DOI]

Richard Souvenir

Proceedings of the Manifold Learning and Its Applications, 2010

2009

MiPPS: A Generative Model for Multi-Manifold Clustering.

[BibT_eX]

[DOI]