Chen, Yuansi

9 publications

JMLR 2025 Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu, Yuansi Chen, Wooseok Ha, Bin Yu

COLT 2025 Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis Minhui Jiang, Yuansi Chen

JMLR 2022 Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling Keru Wu, Scott Schmidler, Yuansi Chen

JMLR 2021 Domain Adaptation Under Structural Causal Models Yuansi Chen, Peter Bühlmann

JMLR 2020 Fast Mixing of Metropolized Hamiltonian Monte Carlo: Benefits of Multi-Step Gradients Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

JMLR 2019 Log-Concave Sampling: Metropolis-Hastings Algorithms Are Fast Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu

JMLR 2018 Fast MCMC Sampling Algorithms on Polytopes Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

COLT 2018 Log-Concave Sampling: Metropolis-Hastings Algorithms Are Fast! Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu

CVPR 2014 Fast and Robust Archetypal Analysis for Representation Learning Yuansi Chen, Julien Mairal, Zaid Harchaoui