Liang, Tengyuan

13 publications

TMLR 2026 Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity Tengyuan Liang, Kulunu Dharmakeerthi, Takuya Koriyama

JMLR 2024 Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria Tengyuan Liang

JMLR 2023 Interpolating Classifiers Make Few Mistakes Tengyuan Liang, Benjamin Recht

COLT 2022 Online Learning to Transport via the Minimal Selection Principle Wenxuan Guo, YoonHaeng Hur, Tengyuan Liang, Chris Ryan

JMLR 2021 How Well Generative Adversarial Networks Learn Distributions Tengyuan Liang

COLT 2020 On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai

JMLR 2020 Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

AISTATS 2019 Fisher-Rao Metric, Geometry, and Complexity of Neural Networks Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin, James Stokes

AISTATS 2019 Interaction Matters: A Note on Non-Asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang, James Stokes

COLT 2018 Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability Belinda Tzen, Tengyuan Liang, Maxim Raginsky

ICML 2017 Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression Under RIP Satyen Kale, Zohar Karnin, Tengyuan Liang, Dávid Pál

COLT 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions Alexandre Belloni, Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin

COLT 2015 Learning with Square Loss: Localization Through Offset Rademacher Complexity Tengyuan Liang, Alexander Rakhlin, Karthik Sridharan