Zheng Wen

Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 Epistemic Neural Networks NeurIPS 2023 Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023 An Analysis of Ensemble Sampling NeurIPS 2022 Evaluating high-order predictive distributions in deep learning UAI 2022 Neural Contextual Bandits with Deep Representation and Shallow Exploration ICLR 2022 The Neural Testbed: Evaluating Joint Predictions NeurIPS 2022 Joint Online Learning and Decision-making via Dual Mirror Descent ICML 2021 Budgeted Online Influence Maximization ICML 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Hypermodels for Exploration ICLR 2020 Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 On Efficiency in Hierarchical Reinforcement Learning NeurIPS 2020 Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020 Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Bootstrapping Upper Confidence Bound NeurIPS 2019 Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank UAI 2019 Conservative Exploration using Interleaving AISTATS 2019 Deep Exploration via Randomized Value Functions JMLR 2019 Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019 Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit AISTATS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Scalar Posterior Sampling with Applications NeurIPS 2018 Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback NeurIPS 2017 Online Learning to Rank in Stochastic Click Models ICML 2017 Stochastic Rank-1 Bandits AISTATS 2017 DCM Bandits: Learning to Rank with Multiple Clicks ICML 2016 Generalization and Exploration via Randomized Value Functions ICML 2016 Cascading Bandits: Learning to Rank in the Cascade Model ICML 2015 Combinatorial Cascading Bandits NeurIPS 2015 Efficient Learning in Large-Scale Combinatorial Semi-Bandits ICML 2015 Optimal Greedy Diversity for Recommendation IJCAI 2015 Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits AISTATS 2015 Adaptive Submodular Maximization in Bandit Setting NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Sequential Bayesian Search ICML 2013