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We stand with Ukraine

Zheng Wen

Affiliations:

DeepMind, USA
Stanford University, USA (PhD 2013)

According to our database¹, Zheng Wen authored at least 60 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Online Bandit Learning with Offline Preference Data.

[BibT_eX]

[DOI]

Akhil Agnihotri

,

,

Deepak Ramachandran

,

CoRR, 2024

2023

Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale.

[BibT_eX]

[DOI]

,

,

,

Trans. Mach. Learn. Res., 2023

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.

[BibT_eX]

[DOI]

Vikranth Dwaracherla

,

,

,

,

Seyed Mohammad Asghari

,

Benjamin Van Roy

Trans. Mach. Learn. Res., 2023

Reinforcement Learning, Bit by Bit.

[BibT_eX]

[DOI]

,

Benjamin Van Roy

,

Vikranth Dwaracherla

,

Morteza Ibrahimi

,

,

Found. Trends Mach. Learn., 2023

RLHF and IIA: Perverse Incentives.

[BibT_eX]

[DOI]

,

,

,

,

,

Benjamin Van Roy

CoRR, 2023

Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2023

Approximate Thompson Sampling via Epistemic Neural Networks.

[BibT_eX]

[DOI]

,

,

Seyed Mohammad Asghari

,

Vikranth Dwaracherla

,

Morteza Ibrahimi

,

,

Benjamin Van Roy

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Epistemic Neural Networks.

[BibT_eX]

[DOI]

,

,

Seyed Mohammad Asghari

,

Vikranth Dwaracherla

,

Morteza Ibrahimi

,

,

Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Demonstrations to Improve Online Learning: Quality Matters.

[BibT_eX]

[DOI]

,

,

,

Benjamin Van Roy

,

Proceedings of the International Conference on Machine Learning, 2023

2022

Robustness of Epinets against Distributional Shifts.

[BibT_eX]

[DOI]

,

,

Seyed Mohammad Asghari

,

,

Vikranth Dwaracherla

,

,

Benjamin Van Roy

CoRR, 2022

Evaluating high-order predictive distributions in deep learning.

[BibT_eX]

[DOI]

,

,

Seyed Mohammad Asghari

,

Vikranth Dwaracherla

,

,

Benjamin Van Roy

Proceedings of the Uncertainty in Artificial Intelligence, 2022

An Analysis of Ensemble Sampling.

[BibT_eX]

[DOI]

,

,

,

Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Neural Testbed: Evaluating Joint Predictions.

[BibT_eX]

[DOI]

,

,

Seyed Mohammad Asghari

,

Vikranth Dwaracherla

,

,

Morteza Ibrahimi

,

Dieterich Lawson

,

,

Brendan O'Donoghue

,

Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

[BibT_eX]

[DOI]

,

,

Seyed Mohammad Asghari

,

Vikranth Dwaracherla

,

,

Morteza Ibrahimi

,

Dieterich Lawson

,

,

Brendan O'Donoghue

,

Benjamin Van Roy

CoRR, 2021

Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions.

[BibT_eX]

[DOI]

,

,

Benjamin Van Roy

,

CoRR, 2021

Epistemic Neural Networks.

[BibT_eX]

[DOI]

,

,

Mohammad Asghari

,

Morteza Ibrahimi

,

,

Benjamin Van Roy

CoRR, 2021

2020

Low-rank Tensor Bandits.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2020

On Efficiency in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

,

,

Morteza Ibrahimi

,

,

Benjamin Van Roy

,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hypermodels for Exploration.

[BibT_eX]

[DOI]

Vikranth Dwaracherla

,

,

Morteza Ibrahimi

,

,

,

Benjamin Van Roy

Proceedings of the 8th International Conference on Learning Representations, 2020

Stochastic Online Learning with Probabilistic Graph Feedback.

[BibT_eX]

[DOI]

,

,

,

Kwong-Sak Leung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Exploration via Randomized Value Functions.

[BibT_eX]

[DOI]

,

Benjamin Van Roy

,

Daniel J. Russo

,

J. Mach. Learn. Res., 2019

Waterfall Bandits: Learning to Sell Ads Online.

[BibT_eX]

[DOI]

Branislav Kveton

,

,

S. Muthukrishnan

,

,

CoRR, 2019

Bootstrapping Upper Confidence Bound.

[BibT_eX]

[DOI]

,

Yasin Abbasi-Yadkori

,

,

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.

[BibT_eX]

[DOI]

Branislav Kveton

,

Csaba Szepesvári

,

,

,

,

Mohammad Ghavamzadeh

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Tutorial on Thompson Sampling.

[BibT_eX]

[DOI]

,

Benjamin Van Roy

,

Abbas Kazerouni

,

,

Found. Trends Mach. Learn., 2018

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.

[BibT_eX]

[DOI]

Branislav Kveton

,

Csaba Szepesvári

,

,

Mohammad Ghavamzadeh

,

CoRR, 2018

New Insights into Bootstrapping for Bandits.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

,

,

,

Yasin Abbasi-Yadkori

CoRR, 2018

Scalar Posterior Sampling with Applications.

[BibT_eX]

[DOI]

Georgios Theocharous

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Offline Evaluation of Ranking Policies with Click Models.

[BibT_eX]

[DOI]

,

Yasin Abbasi-Yadkori

,

Branislav Kveton

,

S. Muthukrishnan

,

,

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization.

[BibT_eX]

[DOI]

,

Benjamin Van Roy

Math. Oper. Res., 2017

Stochastic Low-Rank Bandits.

[BibT_eX]

[DOI]

Branislav Kveton

,

Csaba Szepesvári

,

,

,

Yasin Abbasi-Yadkori

,

S. Muthukrishnan

CoRR, 2017

Posterior Sampling for Large Scale Reinforcement Learning.

[BibT_eX]

[DOI]

Georgios Theocharous

,

,

Yasin Abbasi-Yadkori

,

CoRR, 2017

Diffusion Independent Semi-Bandit Influence Maximization.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

,

Mohammad Ghavamzadeh

,

Laks V. S. Lakshmanan

,

CoRR, 2017

Does Weather Matter?: Causal Analysis of TV Logs.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

Shlomo Berkovsky

,

,

,

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Get to the Bottom: Causal Analysis for User Modeling.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

Shlomo Berkovsky

,

,

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

An Interactive Points of Interest Guidance System.

[BibT_eX]

[DOI]

Georgios Theocharous

,

,

Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Bernoulli Rank-1 Bandits for Click Feedback.

[BibT_eX]

[DOI]

Sumeet Katariya

,

Branislav Kveton

,

Csaba Szepesvári

,

,

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Learning to Rank in Stochastic Click Models.

[BibT_eX]

[DOI]

,

,

Mohammad Ghavamzadeh

,

Branislav Kveton

,

Csaba Szepesvári

,

Proceedings of the 34th International Conference on Machine Learning, 2017

Model-Independent Online Learning for Influence Maximization.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

,

Mohammad Ghavamzadeh

,

Laks V. S. Lakshmanan

,

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Rank-1 Bandits.

[BibT_eX]

[DOI]

Sumeet Katariya

,

Branislav Kveton

,

Csaba Szepesvári

,

,

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Generalization and Exploration via Randomized Value Functions.

[BibT_eX]

[DOI]

,

Benjamin Van Roy

,

Proceedings of the 33nd International Conference on Machine Learning, 2016

DCM Bandits: Learning to Rank with Multiple Clicks.

[BibT_eX]

[DOI]

Sumeet Katariya

,

Branislav Kveton

,

Csaba Szepesvári

,

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension.

[BibT_eX]

[DOI]

,

,

,

J. Comput. Phys., 2015

Cascading Bandits.

[BibT_eX]

[DOI]

Branislav Kveton

,

Csaba Szepesvári

,

,

CoRR, 2015

Combinatorial Cascading Bandits.

[BibT_eX]

[DOI]

Branislav Kveton

,

,

,

Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Greedy Diversity for Recommendation.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

Shlomo Berkovsky

,

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Cascading Bandits: Learning to Rank in the Cascade Model.

[BibT_eX]

[DOI]

Branislav Kveton

,

Csaba Szepesvári

,

,

Proceedings of the 32nd International Conference on Machine Learning, 2015

Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits.

[BibT_eX]

[DOI]

Branislav Kveton

,

,

,

Csaba Szepesvári

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Generalization and Exploration via Randomized Value Functions.

[BibT_eX]

[DOI]

Benjamin Van Roy

,

CoRR, 2014

DUM: Diversity-Weighted Utility Maximization for Recommendations.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

Shlomo Berkovsky

,

CoRR, 2014

Diversified Utility Maximization for Recommendations.

[BibT_eX]

[DOI]

,

Branislav Kveton

,

Shlomo Berkovsky

,

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Large-Scale Optimistic Adaptive Submodularity.

[BibT_eX]

[DOI]

Victor Gabillon

,

Branislav Kveton

,

,

,

S. Muthukrishnan

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension.

[BibT_eX]

[DOI]

PhD thesis, 2013

Efficient Exploration and Value Function Generalization in Deterministic Systems.

[BibT_eX]

[DOI]

,

Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Adaptive Submodular Maximization in Bandit Setting.

[BibT_eX]

[DOI]

Victor Gabillon

,

Branislav Kveton

,

,

,

S. Muthukrishnan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Semi-implicit surface tension formulation with a Lagrangian surface mesh on an Eulerian simulation grid.

[BibT_eX]

[DOI]

Craig A. Schroeder

,

,

J. Comput. Phys., 2012

2011

Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration.

[BibT_eX]

[DOI]

Craig A. Schroeder

,

,

,

Comput. Graph. Forum, 2011

2010

A novel algorithm for incompressible flow using only a coarse grid projection.

[BibT_eX]

[DOI]

Michael Lentine

,

,

ACM Trans. Graph., 2010

On the Dynamic Response of a Saturating Static Feedback-Controlled Single Integrator Driven by White Noise.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Autom. Control., 2010

2008

On the disturbance response and external stability of a saturating static-feedback-controlled double integrator.

[BibT_eX]

[DOI]

,

,

Autom., 2008

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