Summary of Improved Particle Approximation Error For Mean Field Neural Networks, by Atsushi Nitanda
Improved Particle Approximation Error for Mean Field Neural Networksby Atsushi NitandaFirst submitted to arxiv on:…
Improved Particle Approximation Error for Mean Field Neural Networksby Atsushi NitandaFirst submitted to arxiv on:…
Reinforcing Language Agents via Policy Optimization with Action Decompositionby Muning Wen, Ziyu Wan, Weinan Zhang,…
Efficient Mitigation of Bus Bunching through Setter-Based Curriculum Learningby Avidan Shah, Danny Tran, Yuhan TangFirst…
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learningby Jihui Nie, Dehui Du, Jiangnan ZhaoFirst…
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networksby Felix Dangel, Johannes Müller, Marius ZeinhoferFirst submitted to…
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inferenceby Jiantong Jiang, Zeyi Wen, Peiyu Yang, Atif…
Consistency of Neural Causal Partial Identificationby Jiyuan Tan, Jose Blanchet, Vasilis SyrgkanisFirst submitted to arxiv…
The Road Less Scheduledby Aaron Defazio, Xingyu Alice Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled,…
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneckby Hao Yang, Zexu Sun, Hongteng…
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Criticsby David Boetius, Stefan LeueFirst submitted to…