Publications

Towards Long-Form Video Understanding
Chao-Yuan Wu, Philipp Krähenbühl
CVPR, 2021
Learning to Set Waypoints for Audio-Visual Navigation
C. Chen, S. Majumder, Z. Al-Halah, R. Gao, S. Ramakrishnan, K. Grauman
ICLR, 2021
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Prateek R. Srivastava, Purnamrita Sarkar, Grani A. Hanasusanto
arXiv, 2021
Dexterous Robotic Grasping with Object-Centric Visual Affordances
P. Mandikal and K. Grauman
ICRA, 2021
SPECTRE: Defending against backdoor attacks using robust covariance estimation
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
arXiv, 2021
Robust and Differentially Private Mean Estimation
Xiyang Liu, Weihao Kong, Sham Kakade, Sewoong Oh
arXiv, 2021
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
R. Gao and K. Grauman
CVPR, 2021
A Spectral Analysis of Dot-product Kernels
Meyer Scetbon, Zaid Harchaoui
AISTATS, 2021
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation
Shih-Yun Lo, Shiqi Zhang, and Peter Stone
JAIR, 2020
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork
Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, and Peter Stone
IJCAI, 2020
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning
Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang
ICLR, 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, and Peter Stone
JMLR, 2020
End-to-End Learning for Retrospective Change-Point Estimation
Corinne Jones, Zaid Harchaoui
MLSP, 2020
Good Systems, Bad Data? Interpretations of AI Hype and Failures
Stephen C. Slota, Kenneth R. Fleischmann, Sherri Greenberg, Nitin Verma, Brenna Cummings, Lan Li, Chris Shenefiel
asis&t, 2020
Generalizing Curricula for Reinforcement Learning
Sanmit Narvekar and Peter Stone
ICML, 2020
First-order Optimization for Superquantile-based Supervised Learning
Yassine Laguel, Jérome Malick, Zaid Harchaoui
MLSP, 2020
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
Zihan Zhang, Xiangyang Ji, Simon S. Du
arXiv, 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown, Russell Coleman, Ravi Srinivasan, Scott Niekum
ICML, 2020