Publications
-
A Spectral Analysis of Dot-product Kernels
Meyer Scetbon, Zaid Harchaoui
AISTATS, 2021
-
A Superquantile Approach for Federated Learning with Heterogeneous Devices
Y. Laguel, K. Pillutla, J. Malick, Z. Harchaoui
CISS, 2021
-
Improved Graph Clustering
Yudong Chen, Sujay Sanghavi, Huan Xu
arXiv, 2021
-
Something New Versus Tried and True: Ensuring 'Innovative' AI is 'Good' AI
Stephen C. Slota, Kenneth R. Fleischmann, Sherri Greenberg, Nitin Verma, Brenna Cummings, Lan Li, Chris Shenefiel
-
Few-Shot Learning via Learning the Representation, Provably
Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei
ICLR, 2021
-
Scalable Multiagent Driving Policies For Reducing Traffic Congestion.
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone
AAMAS, 2021
-
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar
arXiv, 2021
-
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
Yu-Sian Jiang, Garrett Warnell, and Peter Stone
AAMAS, 2021
-
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration
Brahma Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone
IROS, 2020
-
Reducing Sampling Error in Batch Temporal Difference Learning
Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone
ICML, 2020
-
The EMPATHIC Framework for Task Learning from Implicit Human Feedback
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
CRL, 2020
-
On Sampling Error in Batch Action-Value Prediction Algorithms
Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone
NeurIPS, 2020
-
Learning and Reasoning for Robot Dialog and Navigation Tasks
Keting Lu, Shiqi Zhang, Peter Stone, and Xiaoping Chen
July, 2020
-
Deep R-Learning for Continual Area Sweeping
Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone
IROS, 2020
-
Tracking Objects as Points
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
ECCV, 2020
-
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney
JAIR, 2020
-
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
Lemeng Wu, Bo Liu, Peter Stone, and Qiang Liu
NeurIPS, 2020
-
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
M. Ye, G. Gong, L. Nie, D. Zhou, A. Klivans, Q. Liu
ICML, 2020