|
Poster
|
Wed 8:00 |
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang · Brian Cheung · Chelsea Finn · Sergey Levine · Dinesh Jayaraman |
|
|
Poster
|
Tue 7:00 |
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim · Yehong Zhang · Mun Choon Chan · Bryan Kian Hsiang Low |
|
|
Poster
|
Thu 15:00 |
Neural Network Control Policy Verification With Persistent Adversarial Perturbation Yuh-Shyang Wang · Tsui-Wei Weng · Luca Daniel |
|
|
Poster
|
Tue 8:00 |
Detecting Out-of-Distribution Examples with Gram Matrices Chandramouli Shama Sastry · Sageev Oore |
|
|
Poster
|
Tue 8:00 |
Feature Noise Induces Loss Discrepancy Across Groups Fereshte Khani · Percy Liang |
|
|
Poster
|
Wed 9:00 |
Accountable Off-Policy Evaluation With Kernel Bellman Statistics Yihao Feng · Tongzheng Ren · Ziyang Tang · Qiang Liu |
|
|
Poster
|
Wed 9:00 |
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints Cong Shen · Zhiyang Wang · Sofia Villar · Mihaela van der Schaar |
|
|
Poster
|
Wed 5:00 |
Fair k-Centers via Maximum Matching Matthew Jones · Huy Nguyen · Thy Nguyen |
|
|
Poster
|
Tue 9:00 |
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel Brown · Russell Coleman · Ravi Srinivasan · Scott Niekum |
|
|
Poster
|
Wed 8:00 |
Circuit-Based Intrinsic Methods to Detect Overfitting Satrajit Chatterjee · Alan Mishchenko |
|
|
Poster
|
Tue 10:00 |
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke · Joshua Achiam · Pieter Abbeel |
|
|
Poster
|
Tue 13:00 |
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz · Matthias Hein · Bernt Schiele |