Branislav Kveton

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 132

Top Venues

Publications

Aadirupa Saha, Branislav Kveton
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling. ICLR (2024)
Behnam Rahdari, Peter Brusilovsky, Branislav Kveton
Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces. Trans. Recomm. Syst. 2 (1) (2024)
Aniruddha Bhargava, Lalit Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee
Off-Policy Evaluation from Logged Human Feedback. CoRR (2024)
Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu
Pessimistic Off-Policy Multi-Objective Optimization. AISTATS (2024)
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. WSDM (2024)
Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM (2024)
Subhojyoti Mukherjee, Ge Liu, Aniket Deshmukh, Anusha Lalitha, Yifei Ma, Branislav Kveton
Experimental Design for Active Transductive Inference in Large Language Models. CoRR (2024)
Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton
Optimal Design for Human Feedback. CoRR (2024)
Matej Cief, Branislav Kveton, Michal Kompan
Cross-Validated Off-Policy Evaluation. CoRR (2024)
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR (2024)
Hao Ding, Branislav Kveton, Yifei Ma, Youngsuk Park, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras, Hao Wang
Trending Now: Modeling Trend Recommendations. RecSys (2023)
Aadirupa Saha, Branislav Kveton
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling. CoRR (2023)
Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR (2023)
Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
Logarithmic Bayes Regret Bounds. CoRR (2023)
Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
Multiplier Bootstrap-based Exploration. ICML (2023)
Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
Logarithmic Bayes Regret Bounds. NeurIPS (2023)
Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
Multiplier Bootstrap-based Exploration. CoRR (2023)
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
Thompson Sampling with Diffusion Generative Prior. CoRR (2023)
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
Thompson Sampling with Diffusion Generative Prior. ICML (2023)
Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances. UAI (2023)
Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton
Efficient and Interpretable Bandit Algorithms. CoRR (2023)
Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
Towards Sequential Counterfactual Learning to Rank. SIGIR-AP (2023)
Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
Multi-Task Off-Policy Learning from Bandit Feedback. ICML (2023)
Branislav Kveton, Yi Liu, Johan Matteo Kruijssen, Yisu Nie
Non-Compliant Bandits. CIKM (2023)
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. CoRR (2023)
Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya
Meta-Learning for Simple Regret Minimization. AAAI (2023)
Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu
Pessimistic Off-Policy Multi-Objective Optimization. CoRR (2023)
Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi
Selective Uncertainty Propagation in Offline RL. CoRR (2023)
Imad Aouali, Branislav Kveton, Sumeet Katariya
Mixed-Effect Thompson Sampling. AISTATS (2023)
Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances. CoRR (2023)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Multi-Task Off-Policy Learning from Bandit Feedback. CoRR (2022)
Imad Aouali, Branislav Kveton, Sumeet Katariya
Generalizing Hierarchical Bayesian Bandits. CoRR (2022)
Alexia Atsidakou, Sumeet Katariya, Sujay Sanghavi, Branislav Kveton
Bayesian Fixed-Budget Best-Arm Identification. CoRR (2022)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Deep Hierarchy in Bandits. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
Hierarchical Bayesian Bandits. AISTATS (2022)
Ruihao Zhu, Branislav Kveton
Safe Optimal Design with Applications in Off-Policy Learning. AISTATS (2022)
Rong Zhu, Branislav Kveton
Random Effect Bandits. AISTATS (2022)
Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya
Meta-Learning for Simple Regret Minimization. CoRR (2022)
Rong Zhu, Branislav Kveton
Robust Contextual Linear Bandits. CoRR (2022)
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton
Uplifting Bandits. CoRR (2022)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Deep Hierarchy in Bandits. ICML (2022)
Branislav Kveton, Muhammad Jehangir Amjad, Christophe Diot, Dimitris Konomis, Augustin Soule, Xiaolong Yang
Optimal probing with statistical guarantees for network monitoring at scale. Comput. Commun. 192 (2022)
Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
IMO^3: Interactive Multi-Objective Off-Policy Optimization. IJCAI (2022)
Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh
Fixed-Budget Best-Arm Identification in Structured Bandits. IJCAI (2022)
Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
The Magic of Carousels: Single vs. Multi-List Recommender Systems. HT (2022)
Behnam Rahdari, Peter Brusilovsky, Branislav Kveton
Towards Increasing the Coverage of Interactive Recommendations. FLAIRS (2022)
Runzhe Wan, Branislav Kveton, Rui Song
Safe Exploration for Efficient Policy Evaluation and Comparison. ICML (2022)
Runzhe Wan, Branislav Kveton, Rui Song
Safe Exploration for Efficient Policy Evaluation and Comparison. CoRR (2022)
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton
Uplifting Bandits. NeurIPS (2022)
Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
From Ranked Lists to Carousels: A Carousel Click Model. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
Thompson Sampling with a Mixture Prior. AISTATS (2022)
Matej Cief, Branislav Kveton, Michal Kompan
Pessimistic Off-Policy Optimization for Learning to Rank. CoRR (2022)
Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin
On the Value of Prior in Online Learning to Rank. AISTATS (2022)
Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
: Interactive Multi-Objective Off-Policy Optimization. CoRR (2022)
Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
No Regrets for Learning the Prior in Bandits. CoRR (2021)
Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
No Regrets for Learning the Prior in Bandits. NeurIPS (2021)
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
Meta-Thompson Sampling. CoRR (2021)
Nan Wang, Branislav Kveton, Maryam Karimzadehgan
CORe: Capitalizing On Rewards in Bandit Exploration. CoRR (2021)
Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh
Fixed-Budget Best-Arm Identification in Contextual Bandits: A Static-Adaptive Algorithm. CoRR (2021)
Nan Wang, Branislav Kveton, Maryam Karimzadehgan
CORe: Capitalizing On Rewards in Bandit Exploration. UAI (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
Thompson Sampling with a Mixture Prior. CoRR (2021)
Rong Zhu, Branislav Kveton
Random Effect Bandits. CoRR (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
Hierarchical Bayesian Bandits. CoRR (2021)
Muhammad Jehangir Amjad, Christophe Diot, Dimitris Konomis, Branislav Kveton, Augustin Soule, Xiaolong Yang
Optimal Probing with Statistical Guarantees for Network Monitoring at Scale. CoRR (2021)
Ruihao Zhu, Branislav Kveton
Safe Optimal Design with Applications in Policy Learning. CoRR (2021)
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
Meta-Thompson Sampling. ICML (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
Non-Stationary Off-Policy Optimization. AISTATS (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
Piecewise-Stationary Off-Policy Optimization. CoRR (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
Non-Stationary Latent Bandits. CoRR (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
Latent Bandits Revisited. CoRR (2020)
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
Differentiable Meta-Learning of Bandit Policies. NeurIPS (2020)
Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
Randomized Exploration in Generalized Linear Bandits. AISTATS (2020)
Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. AISTATS (2020)
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
Sample Efficient Graph-Based Optimization with Noisy Observations. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
Latent Bandits Revisited. NeurIPS (2020)
Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvári, Craig Boutilier
Differentiable Meta-Learning in Contextual Bandits. CoRR (2020)
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
Differentiable Bandit Exploration. CoRR (2020)
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
Perturbed-History Exploration in Stochastic Linear Bandits. CoRR (2019)
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
Perturbed-History Exploration in Stochastic Linear Bandits. UAI (2019)
Chih-Wei Hsu, Branislav Kveton, Ofer Meshi, Martin Mladenov, Csaba Szepesvári
Empirical Bayes Regret Minimization. CoRR (2019)
Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS (2019)
Branislav Kveton, Csaba Szepesvári, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. ICML (2019)
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. IJCAI (2019)
Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UAI (2019)
Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI (2019)
Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. CoRR (2019)
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
Conservative Exploration using Interleaving. AISTATS (2019)
Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian
Waterfall Bandits: Learning to Sell Ads Online. CoRR (2019)
Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
Randomized Exploration in Generalized Linear Bandits. CoRR (2019)
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. CoRR (2019)
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
Sample Efficient Graph-Based Optimization with Noisy Observations. AISTATS (2019)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. CoRR (2018)
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori
New Insights into Bootstrapping for Bandits. CoRR (2018)
Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi
BubbleRank: Safe Online Learning to Rerank. CoRR (2018)
Tor Lattimore, Branislav Kveton, Shuai Li, Csaba Szepesvári
TopRank: A practical algorithm for online stochastic ranking. CoRR (2018)
Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin
Online Diverse Learning to Rank from Partial-Click Feedback. CoRR (2018)
Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM (2018)
Branislav Kveton, Csaba Szepesvári, Zheng Wen, Mohammad Ghavamzadeh, Tor Lattimore
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. CoRR (2018)

Branislav Kveton.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Branislav Kveton