Bayesian Inference
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
Neural Information Processing Systems http://nips.cc/
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Neural Information Processing Systems http://nips.cc/
Data-dependent PAC-Bayes priors via differential privacy
Gintare Karolina Dziugaite, Daniel M. Roy
Neural Information Processing Systems http://nips.cc/
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik, Reazul Hasan Russel
Neural Information Processing Systems http://nips.cc/
9023effe3c16b0477df9b93e26d57e2c-Paper.pdf
This simple intuition makes Bayesian methods appealing approaches for transfer in RL, and many previous works have been proposed in this direction.
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Neural Information Processing Systems http://nips.cc/
Large-Scale Stochastic Sampling from the Probability Simplex
Jack Baker, Paul Fearnhead, Emily Fox, Christopher Nemeth
Neural Information Processing Systems http://nips.cc/
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
JING LI, Rafal Mantiuk, Junle Wang, Suiyi Ling, Patrick Le Callet
Neural Information Processing Systems http://nips.cc/