Yuxin Chen

CoRR, 2024

Direct Acquisition Optimization for Low-Budget Active Learning.

[BibT_eX]

[DOI]

Zhuokai Zhao

Yibo Jiang

CoRR, 2024

Enhancing Instance-Level Image Classification with Set-Level Labels.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Blending Imitation and Reinforcement Learning for Robust Policy Improvement.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Don't Be Pessimistic Too Early: Look K Steps Ahead!

[BibT_eX]

[DOI]

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

Model-based Policy Optimization under Approximate Bayesian Inference.

[BibT_eX]

[DOI]

Chaoqi Wang

Kevin Murphy

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

2023

Online learning of energy consumption for navigation of electric vehicles.

[BibT_eX]

[DOI]

Niklas Åkerblom

Artif. Intell., April, 2023

Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints.

[BibT_eX]

[DOI]

Fengxue Zhang

Zejie Zhu

CoRR, 2023

Towards a General Video-based Keystroke Inference Attack.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Efficient Online Decision Tree Learning with Active Feature Acquisition.

[BibT_eX]

[DOI]

Arman Rahbar

Ziyu Ye

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Active Policy Improvement from Multiple Black-box Oracles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Human-Compatible Representations for Case-Based Decision Support.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Cost-Effective Online Contextual Model Selection.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Representation for Bayesian Optimization with Collision-free Regularization.

[BibT_eX]

[DOI]

Fengxue Zhang

Brian Nord

CoRR, 2022

Rethinking Explainability as a Dialogue: A Practitioner's Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data.

[BibT_eX]

[DOI]

Jamar L. Sullivan Jr.

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

Trip Prediction by Leveraging Trip Histories from Neighboring Users.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Optimizing Decision Making via Submodular Surrogates.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Class-wise Thresholding for Robust Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

2021

BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing.

[BibT_eX]

[DOI]

CoRR, 2021

Class-wise Thresholding for Detecting Out-of-Distribution Data.

[BibT_eX]

[DOI]

CoRR, 2021

Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities.

[BibT_eX]

[DOI]

CoRR, 2021

Teaching an Active Learner with Contrastive Examples.

[BibT_eX]

[DOI]

Chaoqi Wang

Adish Singla

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

Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm.

[BibT_eX]

[DOI]

Akash Kumar

Adish Singla

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

Understanding the Effect of Bias in Deep Anomaly Detection.

[BibT_eX]

[DOI]

Ziyu Ye

Haitao Zheng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning to Make Decisions via Submodular Regularization.

[BibT_eX]

[DOI]

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

User Authentication via Electrical Muscle Stimulation.

[BibT_eX]

[DOI]

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Demonstrating User Authentication via Electrical Muscle Stimulation.

[BibT_eX]

[DOI]

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

The Teaching Dimension of Kernel Perceptron.

[BibT_eX]

[DOI]

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

Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners.

[BibT_eX]

[DOI]

Zhe Xu

Ufuk Topcu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Preference-Based Batch and Sequential Teaching.

[BibT_eX]

[DOI]

CoRR, 2020

Using Ensemble Classifiers to Detect Incipient Anomalies.

[BibT_eX]

[DOI]

CoRR, 2020

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI.

[BibT_eX]

[DOI]

CoRR, 2020

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

[BibT_eX]

[DOI]

CoRR, 2020

Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries.

[BibT_eX]

[DOI]

CoRR, 2020

Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences.

[BibT_eX]

[DOI]

Zhe Xu

Ufuk Topcu

CoRR, 2020

Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors.

[BibT_eX]

[DOI]

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Understanding the Power and Limitations of Teaching with Imperfect Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles.

[BibT_eX]

[DOI]

Niklas Åkerblom

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Demonstrating Wearable Microphone Jamming.

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Wearable Microphone Jamming.

[BibT_eX]

[DOI]

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults.

[BibT_eX]

[DOI]

Baihong Jin

Yingshui Tan

CoRR, 2019

Understanding the Effectiveness of Ultrasonic Microphone Jammer.

[BibT_eX]

[DOI]

CoRR, 2019

Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models.

[BibT_eX]

[DOI]

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

Teaching Multiple Concepts to a Forgetful Learner.

[BibT_eX]

[DOI]

Anette Hunziker

Oisin Mac Aodha

Manuel Gomez Rodriguez

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

Landmark Ordinal Embedding.

[BibT_eX]

[DOI]

Nikhil Ghosh

Yisong Yue

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

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.

[BibT_eX]

[DOI]

Yingshui Tan

Baihong Jin

Alexander J. Nettekoven

Yisong Yue

Ufuk Topcu

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Barrier Certificates for Assured Machine Teaching.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design.

[BibT_eX]

[DOI]

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

A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes.

[BibT_eX]

[DOI]

Jialin Song

Yisong Yue

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

2018

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarial WiFi Sensing.

[BibT_eX]

[DOI]

CoRR, 2018

Seeding Deep Learning using Wireless Localization.

[BibT_eX]

[DOI]

CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.

[BibT_eX]

[DOI]

Anette Hunziker

Oisin Mac Aodha

Manuel Gomez-Rodriguez

CoRR, 2018

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.

[BibT_eX]

[DOI]

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

Teaching Categories to Human Learners With Visual Explanations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Near-Optimal Machine Teaching via Explanatory Teaching Sets.

[BibT_eX]

[DOI]

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

2017

Near-optimal Adaptive Information Acquisition: Theory and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2017

Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting.

[BibT_eX]

[DOI]

Jean-Michel Renders

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Learning Shape Analysis.

[BibT_eX]

[DOI]

Proceedings of the Static Analysis - 24th International Symposium, 2017

Near-optimal Bayesian Active Learning with Correlated and Noisy Tests.

[BibT_eX]

[DOI]

Seyed Hamed Hassani

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

2015

Sequential Information Maximization: When is Greedy Near-optimal?

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

Submodular Surrogates for Value of Information.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

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

2014

Active Detection via Adaptive Submodularity.

[BibT_eX]

[DOI]

Hiroaki Shioi

Cesar Fuentes Montesinos

Lian Pin Koh

Serge A. Wich

Proceedings of the 31th International Conference on Machine Learning, 2014

Near Optimal Bayesian Active Learning for Decision Making.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features.

[BibT_eX]

[DOI]

Hariprasad Sampathkumar

Bo Luo

Xue-wen Chen

IEEE Trans. Knowl. Data Eng., 2013

Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization.

[BibT_eX]

[DOI]

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

2012

IPKB: a digital library for invertebrate paleontology.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

S2A: secure smart household appliances.

[BibT_eX]

[DOI]