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"

50 / 227 papers shown

Title
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 26 51 0 12 Jun 2023
Representation-Driven Reinforcement Learning Ofir Nabati Guy Tennenholtz Shie Mannor 13 1 0 31 May 2023
Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 25 4 0 24 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 23 5 0 23 May 2023
Learning Personalized Page Content Ranking Using Customer Representation Xin Shen Yan Zhao Sujan Perera Yujia Liu Jinyun Yan Mitchell Goodman BDL 26 8 0 09 May 2023
Neural Exploitation and Exploration of Contextual Bandits Yikun Ban Yuchen Yan A. Banerjee Jingrui He 34 8 0 05 May 2023
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making Axel Abels Tom Lenaerts V. Trianni Ann Nowé 19 1 0 02 May 2023
Posterior Sampling for Deep Reinforcement Learning Remo Sasso Michelangelo Conserva Paulo E. Rauber OffRL BDL 35 6 0 30 Apr 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task Sunwoong Yang K. Yee UQCV 32 5 0 28 Mar 2023
Adaptive Endpointing with Deep Contextual Multi-armed Bandits Do June Min A. Stolcke A. Raju Colin Vaz Di He Venkatesh Ravichandran V. Trinh OffRL 27 0 0 23 Mar 2023
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems Michael Rotman Lior Wolf 11 1 0 12 Mar 2023
Variational Boosted Soft Trees Tristan Cinquin Tammo Rukat Philipp Schmidt Martin Wistuba Artur Bekasov BDL UQCV 16 0 0 21 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 13 6 0 13 Feb 2023
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei B. Kveton R. Song 16 2 0 03 Feb 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan B. Kveton Patrick Blobaum DiffM 22 7 0 12 Jan 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 6 11 0 14 Dec 2022
Latent Bottlenecked Attentive Neural Processes Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed BDL 19 19 0 15 Nov 2022
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96 Mohamed Aziz Bhouri Pierre Gentine AI4TS AI4CE 20 6 0 26 Oct 2022
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 26 4 0 24 Oct 2022
Maximum entropy exploration in contextual bandits with neural networks and energy based models A. Elwood Marco Leonardi A. Mohamed A. Rozza 16 1 0 12 Oct 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 23 22 0 14 Jul 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 19 99 0 09 Jul 2022
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification Jaeik Jeon Yeonggul Jang Youngtaek Hong H. Shim Sekeun Kim 27 1 0 05 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 31 4 0 28 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 27 113 0 28 Jun 2022
Langevin Monte Carlo for Contextual Bandits Pan Xu Hongkai Zheng Eric Mazumdar Kamyar Azizzadenesheli Anima Anandkumar 8 28 0 22 Jun 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 45 26 0 22 Jun 2022
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification F. Hoseini Niklas Åkerblom M. Chehreghani 28 3 0 16 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell LM&Ro 28 20 0 16 Jun 2022
Excess risk analysis for epistemic uncertainty with application to variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama UQCV 23 1 0 02 Jun 2022
Provably and Practically Efficient Neural Contextual Bandits Sudeep Salgia Sattar Vakili Qing Zhao 10 8 0 31 May 2022
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces G. C. Alexandropoulos Kyriakos Stylianopoulos Chongwen Huang Chau Yuen M. Bennis Mérouane Debbah 23 87 0 08 May 2022
A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior Mingyu Lu Yifang Chen Su-In Lee 13 0 0 05 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Deep Ensemble as a Gaussian Process Approximate Posterior Zhijie Deng Feng Zhou Jianfei Chen Guoqiang Wu Jun Zhu UQCV 14 5 0 30 Apr 2022
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits Yu-Heng Hung Ping-Chun Hsieh 8 2 0 08 Mar 2022
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors Yibo Yang Georgios Kissas P. Perdikaris BDL UQCV 20 40 0 06 Mar 2022
Residual Bootstrap Exploration for Stochastic Linear Bandit Shuang Wu ChiHua Wang Yuantong Li Guang Cheng 6 8 0 23 Feb 2022
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network Yun-Da Tsai Shou-De Lin 38 5 0 17 Feb 2022
Designing Closed Human-in-the-loop Deferral Pipelines Vijay Keswani Matthew Lease K. Kenthapadi OffRL 8 10 0 09 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 22 7 0 03 Feb 2022
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations A. A. Kocherzhenko Nirmal Sobha Kartha Tengfei Li Hsin-Yi Shih Shih Marco Mandic Mike Fuller Arshak Navruzyan 26 0 0 31 Jan 2022
Neural Collaborative Filtering Bandits via Meta Learning Yikun Ban Yunzhe Qi Tianxin Wei Jingrui He OffRL 26 9 0 31 Jan 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang H. Lam A. Meisami Haofeng Zhang 34 4 0 31 Jan 2022
Top-K Ranking Deep Contextual Bandits for Information Selection Systems Jade Freeman Michael Rawson 16 2 0 28 Jan 2022
Top $K$ Ranking for Multi-Armed Bandit with Noisy Evaluations Evrard Garcelon Vashist Avadhanula A. Lazaric and Matteo Pirotta 14 4 0 13 Dec 2021
Contextual Exploration Using a Linear Approximation Method Based on Satisficing Akane Minami Yuki Kono Tatsuji Takahashi 13 0 0 13 Dec 2021
Contextual Bandit Applications in Customer Support Bot Sandra Sajeev Jade Huang Nikos Karampatziakis Matthew Hall Sebastian Kochman Weizhu Chen 22 10 0 06 Dec 2021
Neural Pseudo-Label Optimism for the Bank Loan Problem Aldo Pacchiano Shaun Singh Edward Chou Alexander C. Berg Jakob N. Foerster 11 7 0 03 Dec 2021