|
Poster
|
Wed 8:45
|
Fractal Landscapes in Policy Optimization
Tao Wang · Sylvia Herbert · Sicun Gao
|
|
|
Poster
|
Tue 15:15
|
Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi · Rasool Fakoor · Shoham Sabach
|
|
|
Poster
|
Tue 8:45
|
Policy Optimization for Continuous Reinforcement Learning
HANYANG ZHAO · Wenpin Tang · David Yao
|
|
|
Poster
|
Tue 15:15
|
Optimal cross-learning for contextual bandits with unknown context distributions
Jon Schneider · Julian Zimmert
|
|
|
Workshop
|
|
(Un)certainty selection methods for Active Learning on Label Distributions
James Spann · Christopher Homan
|
|
|
Poster
|
Tue 8:45
|
Global Identifiability of ℓ1-based Dictionary Learning via Matrix Volume Optimization
Jingzhou Hu · Kejun Huang
|
|
|
Poster
|
Wed 8:45
|
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
Yang Li · Jinpei Guo · Runzhong Wang · Junchi Yan
|
|
|
Poster
|
Thu 15:00
|
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
Ziqing Fan · ruipeng zhang · Jiangchao Yao · Bo Han · Ya Zhang · Yanfeng Wang
|
|
|
Poster
|
Wed 15:00
|
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang · Peiyao Xiao · Kaiyi Ji
|
|
|
Workshop
|
|
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
Fady Rezk · Antreas Antoniou · Henry Gouk · Timothy Hospedales
|
|
|
Workshop
|
|
Posterior Sampling on Simsiam: Rethinking Optimization in Siamese Self-Supervised Learning
Daniel De Mello · Ruqi Zhang · Bruno Ribeiro
|
|
|
Poster
|
Wed 15:00
|
Distributionally Robust Bayesian Optimization with φ-divergences
Hisham Husain · Vu Nguyen · Anton van den Hengel
|
|
