Poster

Thu 9:00

Domain Generalization without Excess Empirical Risk
Ozan Sener · Vladlen Koltun

Workshop

Uncertainty quantification methods for ML-based surrogate models of scientific applications
Kishore Basu · Yujia Hao · Delphine Hintz · Dev Shah · Aaron Palmer · Gurpreet Singh Hora · Darian Nwankwo · Laurent White

Workshop

Offline evaluation in RL: soft stability weighting to combine fitted Q-learning and model-based methods
Briton Park · Xian Wu · Bin Yu · Angela Zhou

Workshop

Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova

Workshop

Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão · Arlindo L Oliveira

Workshop

Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy · Jonathan Pisane · Damien Ernst

Poster

NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
Jun Zeng · Mingyang Kou · Hailong Yao

Workshop

Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió

Workshop

Conditional gradient-based method for bilevel optimization with convex lower-level problem
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani

Workshop

Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan

Poster

Thu 9:00

Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas

Workshop

Fri 6:50

NeurIPS 2022 Workshop on Score-Based Methods
Yingzhen Li · Yang Song · Valentin De Bortoli · Francois-Xavier Briol · Wenbo Gong · Alexia Jolicoeur-Martineau · Arash Vahdat

16 Results