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Publications & CV
CV
Conference Papers
[arXiv] A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections nor Strong Convexity
Wei-Cheng Lee, Francesco Orabona
[COLT 2025] New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Composition
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
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