Country
Meta-Learning MCMC Proposals
Tongzhou Wang, YI WU, Dave Moore, Stuart J. Russell
Neural Information Processing Systems http://nips.cc/
Efficient Meta Learning via Minibatch Proximal Update
Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
Neural Information Processing Systems http://nips.cc/
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk Oren Mangoubi Worcester Polytechnic Institute Nisheeth K. Vishnoi Yale University
Interest in this problem derives from its applications to Bayesian inference and differential privacy.
End to end learning and optimization on graphs
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
Neural Information Processing Systems http://nips.cc/
LinkNet: Relational Embedding for Scene Graph
Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
Neural Information Processing Systems http://nips.cc/
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
This allows us to depict richer global behaviors of SAM.
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez, Lalit Jain, Kevin G. Jamieson, Lillian Ratliff
Neural Information Processing Systems http://nips.cc/