Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

23 Results

<<   <   Page 1 of 2   >   >>
Workshop
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
Dan Elbaz · Gal Novik · Oren Salzman
Workshop
Risk-aware Bayesian Reinforcement Learning for Cautious Exploration
Rohan Mitta · Hosein Hasanbeig · Daniel Kroening · Alessandro Abate
Poster
Wed 14:00 Probable Domain Generalization via Quantile Risk Minimization
Cian Eastwood · Alexander Robey · Shashank Singh · Julius von Kügelgen · Hamed Hassani · George J. Pappas · Bernhard Schölkopf
Poster
Module-Aware Optimization for Auxiliary Learning
Hong Chen · Xin Wang · Yue Liu · Yuwei Zhou · Chaoyu Guan · Wenwu Zhu
Poster
Tue 9:00 Optimal Binary Classification Beyond Accuracy
Shashank Singh · Justin Khim
Workshop
Preference-Aware Constrained Multi-Objective Bayesian Optimization For Analog Circuit Design
Alaleh Ahmadianshalchi · Syrine Belakaria · Jana Doppa
Workshop
Optimizing the Performative Risk under Weak Convexity Assumptions
Yulai Zhao
Poster
Thu 9:00 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk
David Simchi-Levi · Zeyu Zheng · Feng Zhu
Workshop
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi · Syrine Belakaria · Janardhan Rao Doppa
Expo Talk Panel
Mon 13:00 Adapt and Optimize ML Models for Hardware-Aware AI
Di Wu
Affinity Workshop
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi · Syrine Belakaria · Janardhan Rao Doppa
Workshop
A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy · Sina Baharlouei · Rakesh Pavan · Meisam Razaviyayn · Ahmad Beirami