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Publications & CV
CV
Conference Papers
[COLT 2026][Slides][Poster] A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak-Ruppert Averaging
Wei-Cheng Lee, Francesco Orabona
[COLT 2025] New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Decomposition
El Mehdi Saad, Wei-Cheng Lee, Francesco Orabona
[NeurIPS 2018] MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
Ian E.H. Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar and Shou-De Lin
[ICML 2017] Latent Feature Lasso
Ian E.H. Yen, Wei-Cheng Lee, Sung-En Chang, Arun S. Suggala, Shou-De Lin and Pradeep Ravikumar
Preprints
[arXiv] A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates
Wei-Cheng Lee, Francesco Orabona
[arXiv] A Robust \(\widetilde{\mathcal{O}}(1/\sqrt{T})\) Rate for Unprojected TD Learning with Linear Function Approximation
Wei-Cheng Lee, Francesco Orabona
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