Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

26 February 2018

Papers citing "Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling"

27 / 227 papers shown

Title
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates Hugo Penedones C. Riquelme Damien Vincent Hartmut Maennel Timothy A. Mann André Barreto Sylvain Gelly Gergely Neu OffRL 10 10 0 19 Jun 2019
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain Ge Liu Jonas W. Mueller David K Gifford UQCV 8 60 0 18 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 24 1,652 0 06 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard E. Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 41 240 0 06 Jun 2019
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 26 29 0 29 May 2019
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions Feiyang Pan Xiang Ao Pingzhong Tang Min Lu Dapeng Liu Lei Xiao Qing He 17 22 0 26 May 2019
The Scientific Method in the Science of Machine Learning Jessica Zosa Forde Michela Paganini 24 35 0 24 Apr 2019
Empirical Bayes Regret Minimization Chih-Wei Hsu B. Kveton Ofer Meshi Martin Mladenov Csaba Szepesvári 23 13 0 04 Apr 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 12 26 0 28 Mar 2019
Perturbed-History Exploration in Stochastic Linear Bandits B. Kveton Csaba Szepesvári Mohammad Ghavamzadeh Craig Boutilier 8 42 0 21 Mar 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 12 235 0 14 Mar 2019
Perturbed-History Exploration in Stochastic Multi-Armed Bandits B. Kveton Csaba Szepesvári Mohammad Ghavamzadeh Craig Boutilier 10 30 0 26 Feb 2019
Function Space Particle Optimization for Bayesian Neural Networks Ziyu Wang Tongzheng Ren Jun Zhu Bo Zhang BDL 15 63 0 26 Feb 2019
Scalable Thompson Sampling via Optimal Transport Ruiyi Zhang Zheng Wen Changyou Chen Lawrence Carin OT 10 20 0 19 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 15 98 0 07 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 12 182 0 31 Jan 2019
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching Tom Zahavy Shie Mannor HAI 23 30 0 24 Jan 2019
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 19 68 0 18 Dec 2018
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits B. Kveton Csaba Szepesvári Sharan Vaswani Zheng Wen Mohammad Ghavamzadeh Tor Lattimore 8 68 0 13 Nov 2018
Practical Bayesian Learning of Neural Networks via Adaptive Optimisation Methods Caroline Werther M. Ferguson K. Park Cuixian Chen Stephen J. Roberts ODL 4 4 0 08 Nov 2018
contextual: Evaluating Contextual Multi-Armed Bandit Problems in R Sayed Chhattan Shah M. Kaptein CML 14 8 0 06 Nov 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz Jiri Hron Przemysław Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek 49 49 0 15 Oct 2018
Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit Iñigo Urteaga C. Wiggins 17 2 0 08 Aug 2018
VFunc: a Deep Generative Model for Functions Philip Bachman Riashat Islam Alessandro Sordoni Zafarali Ahmed VLM BDL 29 8 0 11 Jul 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 8 504 0 04 Jul 2018
New Insights into Bootstrapping for Bandits Sharan Vaswani B. Kveton Zheng Wen Anup B. Rao Mark W. Schmidt Yasin Abbasi-Yadkori 15 18 0 24 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015