Anqi Liu

Chien-Ming Huang

Proc. ACM Hum. Comput. Interact., 2024

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation.

[BibT_eX]

[DOI]

CoRR, 2024

Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification.

[BibT_eX]

[DOI]

CoRR, 2024

SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2024

Responsible MLOps Design Methodology for an Auditing System for AI-Based Clinical Decision Support Systems.

[BibT_eX]

[DOI]

Proceedings of the Testing Software and Systems, 2024

SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them).

[BibT_eX]

[DOI]

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

ADOPD: A Large-Scale Document Page Decomposition Dataset.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

RORA: Robust Free-Text Rationale Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

MegaWika: Millions of reports and their sources across 50 diverse languages.

[BibT_eX]

[DOI]

Jordan L. Boyd-Graber

Benjamin Van Durme

CoRR, 2023

Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts.

[BibT_eX]

[DOI]

Ha Manh Bui

CoRR, 2023

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.

[BibT_eX]

[DOI]

Haoxuan Wang

Zhiding Yu

Yisong Yue

Junchi Yan

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

JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

A Critical Analysis of Document Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Distributionally Robust Policy Gradient for Offline Contextual Bandits.

[BibT_eX]

[DOI]

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

2022

Repeated Environment Inference for Invariant Learning.

[BibT_eX]

[DOI]

Aayush Mishra

CoRR, 2022

JAWS: Predictive Inference Under Covariate Shift.

[BibT_eX]

[DOI]

CoRR, 2022

JAWS: Auditing Predictive Uncertainty Under Covariate Shift.

[BibT_eX]

[DOI]

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

Ambiguous Images With Human Judgments for Robust Visual Event Classification.

[BibT_eX]

[DOI]

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

Calibrating Zero-shot Cross-lingual (Un-)structured Predictions.

[BibT_eX]

[DOI]

Zhengping Jiang

Benjamin Van Durme

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.

[BibT_eX]

[DOI]

Yashwanth Kumar Nakka

IEEE Robotics Autom. Lett., 2021

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.

[BibT_eX]

[DOI]

Hao Liu

Tongxin Li

Saeed Karimi-Bidhendi

Yisong Yue

Anima Anandkumar

CoRR, 2021

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions.

[BibT_eX]

[DOI]

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

Active Learning under Label Shift.

[BibT_eX]

[DOI]

Eric Zhao

Yisong Yue

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

Robust Fairness Under Covariate Shift.

[BibT_eX]

[DOI]

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

2020

Distributionally Robust Learning for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Regression for Safe Exploration in Control.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019

Triply Robust Off-Policy Evaluation.

[BibT_eX]

[DOI]

CoRR, 2019

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates.

[BibT_eX]

[DOI]

CoRR, 2019

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.

[BibT_eX]

[DOI]

Sima Behpour

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

Regularized Learning for Domain Adaptation under Label Shifts.

[BibT_eX]

[DOI]

Kamyar Azizzadenesheli

Fanny Yang

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

2018

Consistent Robust Adversarial Prediction for General Multiclass Classification.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Kernel Robust Bias-Aware Prediction under Covariate Shift.

[BibT_eX]

[DOI]

Rizal Fathony

CoRR, 2017

Robust Covariate Shift Prediction with General Losses and Feature Views.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Adversarial Multiclass Classification: A Risk Minimization Perspective.

[BibT_eX]

[DOI]

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

Robust Covariate Shift Regression.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Context Retrieval for Web Tables.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation.

[BibT_eX]

[DOI]

Mathew Monfort

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

Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction.

[BibT_eX]

[DOI]

Lev Reyzin

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

2014

Robust Classification Under Sample Selection Bias.

[BibT_eX]

[DOI]