Publications
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An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone
NeurIPS, 2020
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Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
NeurIPS, 2020
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SoundSpaces: Audio-Visual Navigation in 3D Environments
C. Chen, U. Jain, C. Schissler, S. V. Amengual Gari, Z. Al-Halah, V. Ithapu, P. Robinson, K. Grauman
ECCV, 2020
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Stochastic Grounded Action Transformation for Robot Learning in Simulation
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone
IROS, 2020
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Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
NeurIPS, 2020
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Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
Ishan Durugkar, Elad Liebman, and Peter Stone
IJCAI, 2020
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Learning Affordance Landscapes for Interaction Exploration in 3D Environments
T. Nagarajan and. K. Grauman. NeurIPS
NeurIPS, 2020
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Neurosymbolic Reinforcement Learning with Formally Verified Exploration
Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri
NeurIPS, 2020
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Using Human-Inspired Signals to Disambiguate Navigational Intentions
Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone
ICSR, 2020
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Meta-learning for mixed linear regression
Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh
arXiv, 2020
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The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
AISTATS, 2020
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Modeling Fashion Influence from Photos
Z. Al-Halah and K. Grauman
IEEE, 2020
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Reinforced Grounded Action Transformation for Sim-to-Real Transfer
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, and Peter Stone
IROS, 2020
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Harmonic Decompositions of Convolutional Networks
Meyer Scetbon, Zaid Harchaoui
ICML, 2020
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Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
arXiv, 2020
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Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Simon S. Du, Xiyu Zhai, Barnabas Poczos, Aarti Singh
ICLR, 2019
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Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
arXiv,2019, 2019
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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck
NeurIPS, 2019