Wibisono, Andre

30 publications

COLT 2025 Characterizing Dependence of Samples Along the Langevin Dynamics and Algorithms via Contraction of $φ$-Mutual Information (Extended Abstract) Jiaming Liang, Siddharth Mitra, Andre Wibisono

ALT 2025 Fast Convergence of $φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler Siddharth Mitra, Andre Wibisono

COLT 2025 Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play John Lazarsfeld, Georgios Piliouras, Ryann Sim, Andre Wibisono

NeurIPS 2025 Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time Qiang Fu, Andre Wibisono

ALT 2025 High-Accuracy Sampling from Constrained Spaces with the Metropolis-Adjusted Preconditioned Langevin Algorithm Vishwak Srinivasan, Andre Wibisono, Ashia Wilson

COLT 2025 Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality (Extended Abstract) Andre Wibisono

COLT 2025 On the Convergence of Min-Max Langevin Dynamics and Algorithm Yang Cai, Siddharth Mitra, Xiuyuan Wang, Andre Wibisono

AISTATS 2024 Extragradient Type Methods for Riemannian Variational Inequality Problems Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D Abernethy, Molei Tao

COLT 2024 Fast Sampling from Constrained Spaces Using the Metropolis-Adjusted Mirror Langevin Algorithm Vishwak Srinivasan, Andre Wibisono, Ashia Wilson

COLT 2024 Optimal Score Estimation via Empirical Bayes Smoothing Andre Wibisono, Yihong Wu, Kaylee Yingxi Yang

ICLR 2023 Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time Jun-Kun Wang, Andre Wibisono

ICLR 2023 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization Jun-Kun Wang, Andre Wibisono

NeurIPS 2023 Learning Exponential Families from Truncated Samples Jane Lee, Andre Wibisono, Emmanouil Zampetakis

ICMLW 2023 Learning Exponential Families from Truncated Samples Jane H. Lee, Andre Wibisono, Manolis Zampetakis

COLT 2023 On a Class of Gibbs Sampling over Networks Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen

ICLR 2023 Towards Understanding GD with Hard and Conjugate Pseudo-Labels for Test-Time Adaptation Jun-Kun Wang, Andre Wibisono

NeurIPS 2022 Alternating Mirror Descent for Constrained Min-Max Games Andre Wibisono, Molei Tao, Georgios Piliouras

NeurIPSW 2022 Convergence in KL and Rényi Divergence of the Unadjusted Langevin Algorithm Using Estimated Score Kaylee Yingxi Yang, Andre Wibisono

COLT 2022 Improved Analysis for a Proximal Algorithm for Sampling Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono

ICML 2022 Provable Acceleration of Heavy Ball Beyond Quadratics for a Class of Polyak-Lojasiewicz Functions When the Non-Convexity Is Averaged-Out Jun-Kun Wang, Chi-Heng Lin, Andre Wibisono, Bin Hu

ALT 2022 The Mirror Langevin Algorithm Converges with Vanishing Bias Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono

ALT 2021 Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization Jacob Abernethy, Kevin A. Lai, Andre Wibisono

ICLR 2020 Last-Iterate Convergence Rates for Min-Max Optimization Jacob Abernethy, Kevin A. Lai, Andre Wibisono

NeurIPS 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions Ashia C Wilson, Lester Mackey, Andre Wibisono

NeurIPS 2019 Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala, Andre Wibisono

COLT 2018 Sampling as Optimization in the Space of Measures: The Langevin Dynamics as a Composite Optimization Problem Andre Wibisono

NeurIPS 2014 Concavity of Reweighted Kikuchi Approximation Po-Ling Loh, Andre Wibisono

NeurIPS 2013 How to Hedge an Option Against an Adversary: Black-Scholes Pricing Is Minimax Optimal Jacob Abernethy, Peter L Bartlett, Rafael Frongillo, Andre Wibisono

NeurIPS 2013 Streaming Variational Bayes Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C Wilson, Michael I Jordan

NeurIPS 2012 Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods Andre Wibisono, Martin J. Wainwright, Michael I. Jordan, John C. Duchi