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1802.09127
Cited By
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
International Conference on Learning Representations (ICLR), 2018
26 February 2018
C. Riquelme
George Tucker
Jasper Snoek
BDL
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Papers citing
"Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling"
50 / 231 papers shown
Top-K Ranking Deep Contextual Bandits for Information Selection Systems
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Jade Freeman
Michael Rawson
215
2
0
28 Jan 2022
Top
K
K
K
Ranking for Multi-Armed Bandit with Noisy Evaluations
Evrard Garcelon
Vashist Avadhanula
A. Lazaric
and Matteo Pirotta
286
5
0
13 Dec 2021
Contextual Exploration Using a Linear Approximation Method Based on Satisficing
Akane Minami
Yuki Kono
Tatsuji Takahashi
42
0
0
13 Dec 2021
Contextual Bandit Applications in Customer Support Bot
Knowledge Discovery and Data Mining (KDD), 2021
Sandra Sajeev
Jade Huang
Nikos Karampatziakis
Matthew Hall
Sebastian Kochman
Weizhu Chen
161
11
0
06 Dec 2021
Neural Pseudo-Label Optimism for the Bank Loan Problem
Neural Information Processing Systems (NeurIPS), 2021
Aldo Pacchiano
Shaun Singh
Edward Chou
Alexander C. Berg
Jakob N. Foerster
123
8
0
03 Dec 2021
Efficient Online Bayesian Inference for Neural Bandits
Gerardo Duran-Martín
Aleyna Kara
Kevin Patrick Murphy
BDL
159
18
0
01 Dec 2021
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
International Conference on Learning Representations (ICLR), 2021
Thanh Nguyen-Tang
Sunil R. Gupta
A. Nguyen
Svetha Venkatesh
OffRL
223
34
0
27 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Runa Eschenhagen
Erik A. Daxberger
Philipp Hennig
Agustinus Kristiadi
UQCV
BDL
179
28
0
05 Nov 2021
Empirical analysis of representation learning and exploration in neural kernel bandits
Michal Lisicki
Arash Afkanpour
Graham W. Taylor
213
0
0
05 Nov 2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Mao Ye
Qiang Liu
201
1
0
17 Oct 2021
The Neural Testbed: Evaluating Joint Predictions
Neural Information Processing Systems (NeurIPS), 2021
Ian Osband
Zheng Wen
S. Asghari
Vikranth Dwaracherla
Botao Hao
M. Ibrahimi
Dieterich Lawson
Xiuyuan Lu
Brendan O'Donoghue
Benjamin Van Roy
UQCV
255
24
0
09 Oct 2021
Deep Upper Confidence Bound Algorithm for Contextual Bandit Ranking of Information Selection
Michael Rawson
Jade Freeman
221
3
0
08 Oct 2021
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban
Yuchen Yan
A. Banerjee
Jingrui He
OffRL
539
53
0
07 Oct 2021
Residual Overfit Method of Exploration
James McInerney
Nathan Kallus
OffRL
UQCV
108
0
0
06 Oct 2021
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Khaled Nakhleh
Santosh Ganji
Ping-Chun Hsieh
I.-Hong Hou
S. Shakkottai
268
46
0
05 Oct 2021
Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann
Nadja Klein
260
3
0
03 Oct 2021
A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS
Rishabh Singh
José C. Príncipe
221
4
0
22 Sep 2021
Online Learning of Network Bottlenecks via Minimax Paths
Niklas Åkerblom
F. Hoseini
M. Chehreghani
222
13
0
17 Sep 2021
Existence conditions for hidden feedback loops in online recommender systems
A. Khritankov
Anton A. Pilkevich
259
1
0
11 Sep 2021
Page-level Optimization of e-Commerce Item Recommendations
ACM Conference on Recommender Systems (RecSys), 2021
Chieh Lo
Hongliang Yu
Xin Yin
Krutika Shetty
Changchen He
Kathy Hu
Justin Platz
Adam Ilardi
S. Madhvanath
113
12
0
12 Aug 2021
Batch Normalization Preconditioning for Neural Network Training
Susanna Lange
Kyle E. Helfrich
Qiang Ye
204
14
0
02 Aug 2021
From Predictions to Decisions: The Importance of Joint Predictive Distributions
Zheng Wen
Ian Osband
Chao Qin
Xiuyuan Lu
M. Ibrahimi
Vikranth Dwaracherla
Mohammad Asghari
Benjamin Van Roy
UQCV
158
26
0
20 Jul 2021
GuideBoot: Guided Bootstrap for Deep Contextual Bandits
The Web Conference (WWW), 2021
Feiyang Pan
Haoming Li
Xiang Ao
Wei Wang
Yanrong Kang
Ao Tan
Qing He
128
0
0
18 Jul 2021
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Neural Information Processing Systems (NeurIPS), 2021
Baihe Huang
Kaixuan Huang
Sham Kakade
Jason D. Lee
Qi Lei
Runzhe Wang
Jiaqi Yang
523
19
0
09 Jul 2021
Predicting with Confidence on Unseen Distributions
Devin Guillory
Vaishaal Shankar
Sayna Ebrahimi
Trevor Darrell
Ludwig Schmidt
UQCV
OOD
286
138
0
07 Jul 2021
Neural Contextual Bandits without Regret
Parnian Kassraie
Andreas Krause
OffRL
291
44
0
07 Jul 2021
Convolutional Neural Bandit for Visual-aware Recommendation
Yikun Ban
Jingrui He
157
1
0
02 Jul 2021
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar
V. Kurmi
Praphul Singh
Vinay P. Namboodiri
122
4
0
01 Jul 2021
A Map of Bandits for E-commerce
Yi Liu
Lihong Li
119
11
0
01 Jul 2021
The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems
Qing Wang
91
1
0
01 Jul 2021
Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit
Yichi Zhou
Shihong Song
Huishuai Zhang
Jun Zhu
Wei Chen
Tie-Yan Liu
117
0
0
29 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
Stephanie Tsuei
Aditya Golatkar
Stefano Soatto
UQCV
174
0
0
25 Jun 2021
Loss function based second-order Jensen inequality and its application to particle variational inference
Neural Information Processing Systems (NeurIPS), 2021
Futoshi Futami
Tomoharu Iwata
N. Ueda
Issei Sato
Masashi Sugiyama
273
4
0
09 Jun 2021
Fixed-Budget Best-Arm Identification in Structured Bandits
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Javad Azizi
Branislav Kveton
Mohammad Ghavamzadeh
603
27
0
09 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Zachary Nado
Neil Band
Mark Collier
Josip Djolonga
Michael W. Dusenberry
...
D. Sculley
Balaji Lakshminarayanan
Jasper Snoek
Y. Gal
Dustin Tran
UQCV
ELM
311
107
0
07 Jun 2021
Generalized Linear Bandits with Local Differential Privacy
Neural Information Processing Systems (NeurIPS), 2021
Yuxuan Han
Zhipeng Liang
Yang Wang
Jiheng Zhang
183
35
0
07 Jun 2021
Multi-facet Contextual Bandits: A Neural Network Perspective
Knowledge Discovery and Data Mining (KDD), 2021
Yikun Ban
Jingrui He
C. Cook
340
29
0
06 Jun 2021
Understanding Uncertainty in Bayesian Deep Learning
Cooper Lorsung
BDL
UQCV
122
0
0
21 May 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
Neural Information Processing Systems (NeurIPS), 2021
Rong Zhu
Mattia Rigotti
199
9
0
10 May 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
Samuel Kim
Peter Y. Lu
Charlotte Loh
Jamie Smith
Jasper Snoek
M. Soljavcić
BDL
AI4CE
778
21
0
23 Apr 2021
A contrastive rule for meta-learning
Neural Information Processing Systems (NeurIPS), 2021
Nicolas Zucchet
Simon Schug
J. Oswald
Dominic Zhao
João Sacramento
MLT
303
22
0
04 Apr 2021
Robustness via Cross-Domain Ensembles
IEEE International Conference on Computer Vision (ICCV), 2021
Teresa Yeo
Oğuzhan Fatih Kar
Alexander Sax
Amir Zamir
UQCV
OOD
220
30
0
19 Mar 2021
A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Miruna Clinciu
Arash Eshghi
H. Hastie
199
61
0
15 Mar 2021
CORe: Capitalizing On Rewards in Bandit Exploration
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Nan Wang
Branislav Kveton
Maryam Karimzadehgan
101
2
0
07 Mar 2021
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts
Rishabh Singh
José C. Príncipe
UQCV
79
0
0
02 Mar 2021
Batched Neural Bandits
ACM / IMS Journal of Data Science (JIDS), 2021
Quanquan Gu
Amin Karbasi
Khashayar Khosravi
Vahab Mirrokni
Dongruo Zhou
BDL
OffRL
118
26
0
25 Feb 2021
The Promises and Pitfalls of Deep Kernel Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Sebastian W. Ober
C. Rasmussen
Mark van der Wilk
UQCV
BDL
387
119
0
24 Feb 2021
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs
Proceedings of the Royal Society A (Proc. R. Soc. A), 2021
Jianlong Wu
A. Blanchard
T. Sapsis
P. Perdikaris
183
21
0
19 Feb 2021
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
The Web Conference (WWW), 2021
Shiyao Wang
Qi Liu
Bo Xiao
Defu Lian
Qing Cui
224
22
0
08 Feb 2021
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
Neural Information Processing Systems (NeurIPS), 2021
A. Feder Cooper
Yucheng Lu
Jessica Zosa Forde
Christopher De Sa
238
33
0
05 Feb 2021
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