Tianyu Wang

发表

Towards Practical Lipschitz Stochastic Bandits.

C. Rudin, Tianyu Wang, Weicheng Ye, 2019 .

Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds

Tianyu Wang, Yasong Feng, 2022, ArXiv.

Latent Policies for Adversarial Imitation Learning

Nikolay A. Atanasov, Tianyu Wang, Nikhil Karnwal, 2022, ArXiv.

Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds

Tianyu Wang, Yasong Feng, 2022, ArXiv.

WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata

Nikolay A. Atanasov, Tianyu Wang, 2021, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Direct Approximation of AIXI Using Logical State Abstractions

K. S. Ng, Tianyu Wang, Samuel Yang-Zhao, 2022, NeurIPS.

Latent Policies for Adversarial Imitation Learning

Nikolay A. Atanasov, Tianyu Wang, Nikhil Karnwal, 2022, ArXiv.

Distributionally Robust Prescriptive Analytics with Wasserstein Distance pdf

Ningyuan Chen, Tianyu Wang, Chun Wang, 2021, ArXiv.

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference pdf

Cynthia Rudin, Tianyu Wang, Sudeepa Roy, 2017, J. Mach. Learn. Res..

Deep physical neural networks trained with backpropagation pdf

Logan G. Wright, Peter L. McMahon, Tianyu Wang, 2021, Nature.

An optical neural network using less than 1 photon per multiplication

Logan G. Wright, Peter L. McMahon, Tianyu Wang, 2021, Nature Communications.

Large Scale Model Predictive Control with Neural Networks and Primal Active Sets

Steven W. Chen, M. Morari, Vijay R. Kumar, 2019, Autom..

Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds

Tianyu Wang, Yasong Feng, 2022, ArXiv.

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning pdf

Nikolay Atanasov, Vikas Dhiman, Tianyu Wang, 2021, Autonomous Robots.

Learning Navigation Costs from Demonstration in Partially Observable Environments

Nikolay Atanasov, Tianyu Wang, Vikas Dhiman, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Episodic Linear Quadratic Regulators with Low-rank Transitions pdf

Lin F. Yang, Tianyu Wang, Tianyu Wang, 2020, ArXiv.

Simon Kirby, Kenny Smith, Tianyu Wang, 2021, Cogn. Sci..

A Practical Bandit Method with Advantages in Neural Network Tuning pdf

Cynthia Rudin, Tianyu Wang, Dawei Geng, 2019, ArXiv.

Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization

G. Iyengar, H. Lam, Tianyu Wang, 2023, ArXiv.

Adaptive Discretization for Model-Based Reinforcement Learning

Sean R. Sinclair, Tianyu Wang, C. Yu, 2020, NeurIPS.

Towards Practical Lipschitz Bandits

C. Rudin, Tianyu Wang, Weicheng Ye, 2019, FODS.

A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization

Tianyu Wang, Yimin Huang, Yasong Feng, 2023, ArXiv.

From Random Search to Bandit Learning in Metric Measure Spaces

Tianyu Wang, Yasong Feng, Chuying Han, 2023, ArXiv.

Lipschitz Bandits with Batched Feedback

Tianyu Wang, Zengfeng Huang, Yasong Feng, 2021, NeurIPS.

Bandits for BMO Functions

Cynthia Rudin, Tianyu Wang, C. Rudin, 2020, ICML.

Active physical inference via reinforcement learning

Yu Sun, Tianyu Wang, Todd M. Gureckis, 2019, CogSci.

Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation

G. Iyengar, H. Lam, Tianyu Wang, 2023, AISTATS.

On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets

Hongseok Namkoong, Tianyu Wang, Peng Cui, 2023, NeurIPS.