Zheng Wen - RankMe

84 papers A* 19A 5C 1Journal 52Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Exploration at Scale. CoRR Seyed Mohammad Asghari, Chris Chute, Vikranth Dwaracherla, Xiuyuan Lu, Mehdi Jafarnia, Victor Minden, Zheng Wen, Benjamin Van Roy
2025	J	`jnl`	Best Policy Learning from Trajectory Preference Feedback. CoRR Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
2025	J	`jnl`	Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models. CoRR Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
2024	J	`jnl`	Online Bandit Learning with Offline Preference Data. CoRR Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
2023	A	`conf`	Approximate Thompson Sampling via Epistemic Neural Networks. UAI Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
2023	J	`jnl`	Approximate Thompson Sampling via Epistemic Neural Networks. CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
2023	J	`jnl`	Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. CoRR Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen
2023	J	`jnl`	Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. Trans. Mach. Learn. Res. Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen
2023	J	`jnl`	Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach. CoRR Dengwang Tang, Rahul Jain, Botao Hao, Zheng Wen
2023	J	`jnl`	Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. Trans. Mach. Learn. Res. Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
2023	A*	`conf`	Epistemic Neural Networks. NeurIPS Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
2023	A*	`conf`	Leveraging Demonstrations to Improve Online Learning: Quality Matters. ICML Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen
2023	J	`jnl`	Leveraging Demonstrations to Improve Online Learning: Quality Matters. CoRR Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen
2023	J	`jnl`	RLHF and IIA: Perverse Incentives. CoRR Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
2023	J	`jnl`	Reinforcement Learning, Bit by Bit. Found. Trends Mach. Learn. Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
2022	A*	`conf`	An Analysis of Ensemble Sampling. NeurIPS Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
2022	J	`jnl`	An Analysis of Ensemble Sampling. CoRR Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
2022	J	`jnl`	Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. CoRR Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
2022	J	`jnl`	Evaluating High-Order Predictive Distributions in Deep Learning. CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
2022	A	`conf`	Evaluating high-order predictive distributions in deep learning. UAI Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
2022	J	`jnl`	Robustness of Epinets against Distributional Shifts. CoRR Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy
2022	A*	`conf`	The Neural Testbed: Evaluating Joint Predictions. NeurIPS Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
2021	J	`jnl`	Epistemic Neural Networks. CoRR Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy
2021	J	`jnl`	Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy
2021	J	`jnl`	Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions. CoRR Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen
2021	J	`jnl`	Reinforcement Learning, Bit by Bit. CoRR Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
2020	A*	`conf`	Hypermodels for Exploration. ICLR Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
2020	J	`jnl`	Hypermodels for Exploration. CoRR Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
2020	J	`jnl`	Low-rank Tensor Bandits. CoRR Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun
2020	A*	`conf`	On Efficiency in Hierarchical Reinforcement Learning. NeurIPS Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh
2020	A*	`conf`	Stochastic Online Learning with Probabilistic Graph Feedback. AAAI Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
2019	A*	`conf`	Bootstrapping Upper Confidence Bound. NeurIPS Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
2019	J	`jnl`	Bootstrapping Upper Confidence Bound. CoRR Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
2019	J	`jnl`	Deep Exploration via Randomized Value Functions. J. Mach. Learn. Res. Ian Osband, Benjamin Van Roy, Daniel J. Russo, Zheng Wen
2019	A*	`conf`	Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. ICML Branislav Kveton, Csaba Szepesvári, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh
2019	J	`jnl`	Stochastic Online Learning with Probabilistic Graph Feedback. CoRR Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
2019	J	`jnl`	Waterfall Bandits: Learning to Sell Ads Online. CoRR Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian
2018	J	`jnl`	A Tutorial on Thompson Sampling. Found. Trends Mach. Learn. Daniel Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, Zheng Wen
2018	J	`jnl`	Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. CoRR Branislav Kveton, Csaba Szepesvári, Zheng Wen, Mohammad Ghavamzadeh, Tor Lattimore
2018	J	`jnl`	New Insights into Bootstrapping for Bandits. CoRR Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori
2018	A*	`conf`	Offline Evaluation of Ranking Policies with Click Models. KDD Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
2018	J	`jnl`	Offline Evaluation of Ranking Policies with Click Models. CoRR Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
2018	A*	`conf`	Scalar Posterior Sampling with Applications. NeurIPS Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis
2017	—	`conf`	An Interactive Points of Interest Guidance System. IUI Companion Georgios Theocharous, Nikos Vlassis, Zheng Wen
2017	A*	`conf`	Bernoulli Rank-1 Bandits for Click Feedback. IJCAI Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2017	J	`jnl`	Bernoulli Rank-1 Bandits for Click Feedback. CoRR Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2017	J	`jnl`	Deep Exploration via Randomized Value Functions. CoRR Ian Osband, Daniel Russo, Zheng Wen, Benjamin Van Roy
2017	J	`jnl`	Diffusion Independent Semi-Bandit Influence Maximization. CoRR Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt
2017	J	`jnl`	Does Weather Matter? Causal Analysis of TV Logs. CoRR Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
2017	—	`conf`	Does Weather Matter?: Causal Analysis of TV Logs. WWW (Companion Volume) Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
2017	J	`jnl`	Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization. Math. Oper. Res. Zheng Wen, Benjamin Van Roy
2017	A	`conf`	Get to the Bottom: Causal Analysis for User Modeling. UMAP Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen
2017	A*	`conf`	Model-Independent Online Learning for Influence Maximization. ICML Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt
2017	A*	`conf`	Online Learning to Rank in Stochastic Click Models. ICML Masrour Zoghi, Tomás Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Zheng Wen
2017	J	`jnl`	Online Learning to Rank in Stochastic Click Models. CoRR Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Tomás Tunys, Zheng Wen, Masrour Zoghi
2017	J	`jnl`	Posterior Sampling for Large Scale Reinforcement Learning. CoRR Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis
2017	J	`jnl`	Stochastic Low-Rank Bandits. CoRR Branislav Kveton, Csaba Szepesvári, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan
2017	A	`conf`	Stochastic Rank-1 Bandits. AISTATS Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2016	A*	`conf`	DCM Bandits: Learning to Rank with Multiple Clicks. ICML Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Zheng Wen
2016	J	`jnl`	DCM Bandits: Learning to Rank with Multiple Clicks. CoRR Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Zheng Wen
2016	A*	`conf`	Generalization and Exploration via Randomized Value Functions. ICML Ian Osband, Benjamin Van Roy, Zheng Wen
2016	J	`jnl`	Stochastic Rank-1 Bandits. CoRR Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2015	J	`jnl`	A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension. J. Comput. Phys. Zheng Wen, Bo Zhu, Byungmoon Kim, Ronald Fedkiw
2015	J	`jnl`	Cascading Bandits. CoRR Branislav Kveton, Csaba Szepesvári, Zheng Wen, Azin Ashkan
2015	A*	`conf`	Cascading Bandits: Learning to Rank in the Cascade Model. ICML Branislav Kveton, Csaba Szepesvári, Zheng Wen, Azin Ashkan
2015	—	`conf`	Combinatorial Cascading Bandits. NIPS Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári
2015	J	`jnl`	Combinatorial Cascading Bandits. CoRR Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári
2015	A*	`conf`	Optimal Greedy Diversity for Recommendation. IJCAI Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen
2015	A	`conf`	Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits. AISTATS Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári
2014	J	`jnl`	DUM: Diversity-Weighted Utility Maximization for Recommendations. CoRR Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen
2014	—	`conf`	Diversified Utility Maximization for Recommendations. RecSys Posters Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen
2014	J	`jnl`	Generalization and Exploration via Randomized Value Functions. CoRR Benjamin Van Roy, Zheng Wen
2014	A*	`conf`	Large-Scale Optimistic Adaptive Submodularity. AAAI Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan
2014	J	`jnl`	Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits. CoRR Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári
2013	—	`—`	A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension. Zheng Wen
2013	—	`conf`	Adaptive Submodular Maximization in Bandit Setting. NIPS Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan
2013	—	`conf`	Efficient Exploration and Value Function Generalization in Deterministic Systems. NIPS Zheng Wen, Benjamin Van Roy
2013	J	`jnl`	Efficient Exploration and Value Function Generalization in Deterministic Systems. CoRR Zheng Wen, Benjamin Van Roy
2012	J	`jnl`	Semi-implicit surface tension formulation with a Lagrangian surface mesh on an Eulerian simulation grid. J. Comput. Phys. Craig A. Schroeder, Zheng Wen, Ronald Fedkiw
2011	J	`jnl`	Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration. Comput. Graph. Forum Craig A. Schroeder, Nipun Kwatra, Zheng Wen, Ronald Fedkiw
2010	J	`jnl`	A novel algorithm for incompressible flow using only a coarse grid projection. ACM Trans. Graph. Michael Lentine, Zheng Wen, Ronald Fedkiw
2010	J	`jnl`	On the Dynamic Response of a Saturating Static Feedback-Controlled Single Integrator Driven by White Noise. IEEE Trans. Autom. Control. Zheng Wen, Sandip Roy, Ali Saberi
2008	J	`jnl`	On the disturbance response and external stability of a saturating static-feedback-controlled double integrator. Autom. Zheng Wen, Sandip Roy, Ali Saberi
2007	C	`conf`	On the Disturbance Response and External Stability of a Saturating Static-Feedback-Controlled Double Integrator. ACC Zheng Wen, Sandip Roy, Ali Saberi