Yuansi Chen

30 papers A* 4Misc 1Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hit-and-Run Mixing via Localization Schemes.
Discret. Comput. Geom.
Yuansi Chen, Ronen Eldan
2025 J jnl
PolytopeWalk: Sparse MCMC Sampling over Polytopes.
J. Open Source Softw.
Benny Sun, Yuansi Chen
2025 J jnl
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms.
J. Mach. Learn. Res.
Keru Wu, Yuansi Chen, Wooseok Ha, Bin Yu
2025 A* conf
Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis.
COLT
Minhui Jiang, Yuansi Chen
2025 J jnl
Talagrand's convolution conjecture up to loglog via perturbed reverse heat.
CoRR
Yuansi Chen
2025 J jnl
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts.
CoRR
Wooseok Ha, Yuansi Chen
2024 J jnl
PolytopeWalk: Sparse MCMC Sampling over Polytopes.
CoRR
Benny Sun, Yuansi Chen
2024 J jnl
Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis.
CoRR
Minhui Jiang, Yuansi Chen
2023 J jnl
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry.
CoRR
Yuansi Chen, Khashayar Gatmiry
2023 J jnl
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms.
CoRR
Keru Wu, Yuansi Chen, Wooseok Ha, Bin Yu
2023 J jnl
When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?
CoRR
Yuansi Chen, Khashayar Gatmiry
2022 J jnl
Hit-and-run mixing via localization schemes.
CoRR
Yuansi Chen, Ronen Eldan
2022 A* conf
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains (extended abstract).
FOCS
Yuansi Chen, Ronen Eldan
2022 J jnl
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains.
CoRR
Yuansi Chen, Ronen Eldan
2022 J jnl
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling.
J. Mach. Learn. Res.
Keru Wu, Scott C. Schmidler, Yuansi Chen
2021 J jnl
Domain adaptation under structural causal models.
J. Mach. Learn. Res.
Yuansi Chen, Peter Bühlmann
2021 J jnl
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling.
CoRR
Keru Wu, Scott C. Schmidler, Yuansi Chen
2020 J jnl
Domain adaptation under structural causal models.
CoRR
Yuansi Chen, Peter Bühlmann
2020 J jnl
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients.
J. Mach. Learn. Res.
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2019 J jnl
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients.
CoRR
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2019 J jnl
Log-concave sampling: Metropolis-Hastings algorithms are fast.
J. Mach. Learn. Res.
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
2018 J jnl
Fast MCMC Sampling Algorithms on Polytopes.
J. Mach. Learn. Res.
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2018 A* conf
Log-concave sampling: Metropolis-Hastings algorithms are fast!
COLT
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
2018 J jnl
Sampling Can Be Faster Than Optimization.
CoRR
Yi-An Ma, Yuansi Chen, Chi Jin, Nicolas Flammarion, Michael I. Jordan
2018 J jnl
Stability and Convergence Trade-off of Iterative Optimization Algorithms.
CoRR
Yuansi Chen, Chi Jin, Bin Yu
2017 — conf
Vaidya walk: A sampling algorithm based on the volumetric barrier.
Allerton
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2016 J jnl
Self-calibrating Neural Networks for Dimensionality Reduction.
CoRR
Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii
2016 Misc conf
Self-calibrating neural networks for dimensionality reduction.
ACSSC
Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii
2014 A* conf
Fast and Robust Archetypal Analysis for Representation Learning.
CVPR
Yuansi Chen, Julien Mairal, Zaïd Harchaoui
2014 J jnl
Fast and Robust Archetypal Analysis for Representation Learning.
CoRR
Yuansi Chen, Julien Mairal, Zaïd Harchaoui