Tianyu Wang - RankMe

17 papers A* 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting stochastic gradient descent for strongly convex objectives: Tight uniform-in-time bounds. Syst. Control. Lett. Kang Chen, Yasong Feng, Tianyu Wang
2025	J	`jnl`	dame-flame: A J. Stat. Softw. Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2024	J	`jnl`	Convergence Rates of Zeroth Order Gradient Descent for Łojasiewicz Functions. INFORMS J. Comput. Tianyu Wang, Yasong Feng
2024	J	`jnl`	Lipschitz Bandits With Batched Feedback. IEEE Trans. Inf. Theory Yasong Feng, Zengfeng Huang, Tianyu Wang
2023	J	`jnl`	A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization. CoRR Yasong Feng, Weijian Luo, Yimin Huang, Tianyu Wang
2023	J	`jnl`	From Random Search to Bandit Learning in Metric Measure Spaces. CoRR Chuying Han, Yasong Feng, Tianyu Wang
2022	A*	`conf`	Lipschitz Bandits with Batched Feedback. NeurIPS Yasong Feng, Zengfeng Huang, Tianyu Wang
2022	J	`jnl`	Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds. CoRR Yasong Feng, Tianyu Wang
2021	J	`jnl`	Batched Lipschitz Bandits. CoRR Yasong Feng, Zengfeng Huang, Tianyu Wang
2021	J	`jnl`	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. J. Mach. Learn. Res. Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2021	—	`—`	New Directions in Bandit Learning: Singularities and Random Walk Feedback. Tianyu Wang
2021	J	`jnl`	dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. CoRR Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	A*	`conf`	Bandits for BMO Functions. ICML Tianyu Wang, Cynthia Rudin
2020	J	`jnl`	Bandits for BMO Functions. CoRR Tianyu Wang, Cynthia Rudin
2020	—	`conf`	Towards Practical Lipschitz Bandits. FODS Tianyu Wang, Weicheng Ye, Dawei Geng, Cynthia Rudin
2019	J	`jnl`	A Practical Bandit Method with Advantages in Neural Network Tuning. CoRR Tianyu Wang, Dawei Geng, Cynthia Rudin
2017	J	`jnl`	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. CoRR Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky, Tianyu Wang