Statistical Learning
Posterior Concentration for Sparse Deep Learning
Veronika Rockova, nicholas polson
Neural Information Processing Systems http://nips.cc/
Curvilinear Distance Metric Learning
Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang
Neural Information Processing Systems http://nips.cc/
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello Nieto, Markus Kรคngsepp, Telmo Silva Filho, Hao Song, Peter Flach
Neural Information Processing Systems http://nips.cc/
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/