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Chewi, Sinho

  1. Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
    2022/09/22 by Chen, Sitan, Chewi, Sinho, Li, Jerry +3 · 51 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  2. The probability flow ODE is provably fast
    2023/05/19 by Sitan Chen, Sinho Chewi, Chen, Sitan +9 · 23 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
  3. Improved analysis for a proximal algorithm for sampling
    2022/02/13 by Chen, Yongxin, Chewi, Sinho, Salim, Adil +1 · 15 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  4. Statistical optimal transport
    2024/07/25 by Chewi, Sinho, Niles-Weed, Jonathan, Rigollet, Philippe · 20 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  5. Variational inference via Wasserstein gradient flows
    2022/05/31 by Marc Lambert, Lambert, Marc, Sinho Chewi +7 · 11 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
  6. SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
    2020/06/03 by Chewi, Sinho, Gouic, Thibaut Le, Lu, Chen +2 · 6 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  7. Faster high-accuracy log-concave sampling via algorithmic warm starts
    2023/02/20 by Jason M. Altschuler, Altschuler, Jason M., Sinho Chewi +1 · 8 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Analysis of PDEs (math.AP) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
  8. Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
    2022/02/10 by Krishnakumar Balasubramanian, Sinho Chewi, Balasubramanian, Krishnakumar +7 · 6 citations
    Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
  9. Efficient constrained sampling via the mirror-Langevin algorithm
    2020/10/30 by Ahn, Kwangjun, Chewi, Sinho · 5 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  10. Optimal dimension dependence of the Metropolis-Adjusted Langevin\n Algorithm
    2020/12/23 by Sinho Chewi, Chewi, Sinho, Chen Lü +10 · 5 citations
    Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
  11. Dimension-free log-Sobolev inequalities for mixture distributions
    2021/02/23 by Chen, Hong-Bin, Chewi, Sinho, Niles-Weed, Jonathan · 4 citations
    #FOS: Mathematics #Functional Analysis (math.FA) #Probability (math.PR)
  12. Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
    2021/06/15 by Jason M. Altschuler, Sinho Chewi, Altschuler, Jason M. +5 · 4 citations
    Mathematics · Medicine · #Acupuncture Treatment Research Studies #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Morphological variations and asymmetry #Optimization and Control (math.OC) #Point processes and geometric inequalities
  13. Exponential ergodicity of mirror-Langevin diffusions
    2020/05/19 by Chewi, Sinho, Gouic, Thibaut Le, Lu, Chen +3 · 3 citations
    #60J25 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  14. Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
    2023/04/10 by Diao, Michael, Balasubramanian, Krishnakumar, Chewi, Sinho +1 · 5 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  15. Fast and Smooth Interpolation on Wasserstein Space
    2020/10/22 by Chewi, Sinho, Clancy, Julien, Gouic, Thibaut Le +3 · 3 citations
    #FOS: Mathematics #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  16. Learning threshold neurons via the "edge of stability"
    2022/12/14 by Kwangjun Ahn, Sébastien Bubeck, Ahn, Kwangjun +9 · 3 citations
    Computer Science · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  17. Shifted Composition III: Local Error Framework for KL Divergence
    2024/12/23 by Jason M. Altschuler, Altschuler, Jason M., Sinho Chewi +1 · 1 voice · 5 citations
    #math.ST #cs.DS #cs.LG #math.NA #stat.ML
  18. The query complexity of sampling from strongly log-concave distributions in one dimension
    2021/05/29 by Sinho Chewi, Patrik Gerber, Chewi, Sinho +7 · 2 citations
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Complexity and Algorithms in Graphs #Machine Learning and Algorithms
  19. The entropic barrier is n-self-concordant
    2021/12/21 by Sinho Chewi, Chewi, Sinho · 2 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Diffusion and Search Dynamics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metric Geometry (math.MG) #Optimization and Control (math.OC) #Point processes and geometric inequalities
  20. An entropic generalization of Caffarelli's contraction theorem via covariance inequalities
    2022/03/09 by Chewi, Sinho, Pooladian, Aram-Alexandre · 3 citations
    #FOS: Mathematics #Functional Analysis (math.FA) #Probability (math.PR) #Statistics Theory (math.ST)
  21. Fast parallel sampling under isoperimetry
    2024/01/17 by Anari, Nima, Chewi, Sinho, Vuong, Thuy-Duong · 3 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  22. On the complexity of finding stationary points of smooth functions in one dimension
    2022/09/15 by Sinho Chewi, Sébastien Bubeck, Chewi, Sinho +3 · 2 citations
    Computer Science · #Complexity and Algorithms in Graphs #FOS: Mathematics #Machine Learning and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  23. Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
    2025/06/29 by Altschuler, Jason M., Chewi, Sinho, Zhang, Matthew S. · 7 citations
    #Analysis of PDEs (math.AP) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Probability (math.PR) #Statistics Theory (math.ST)
  24. Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
    2023/12/05 by Yiheng Jiang, Jiang, Yiheng, Sinho Chewi +3 · 3 citations
    Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Statistical Methods and Inference #Statistics Theory (math.ST)
  25. The ballistic limit of the log-Sobolev constant equals the Polyak-Łojasiewicz constant
    2024/11/18 by Sinho Chewi, Austin J. Stromme, Chewi, Sinho +1 · 4 citations
    Mathematics · #Advanced Statistical Methods and Models #FOS: Mathematics #Functional Analysis (math.FA) #Mathematical Approximation and Integration #Nonlinear Partial Differential Equations #Optimization and Control (math.OC) #Probability (math.PR)
  26. Sampling from the Mean-Field Stationary Distribution
    2024/02/12 by Kook, Yunbum, Zhang, Matthew S., Chewi, Sinho +2 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  27. Shifted Composition I: Harnack and Reverse Transport Inequalities
    2023/11/24 by Jason M. Altschuler, Altschuler, Jason M., Sinho Chewi +1 · 2 citations
    Mathematics · Physics and Astronomy · #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
  28. Gradient descent algorithms for Bures-Wasserstein barycenters
    2020/01/06 by Chewi, Sinho, Maunu, Tyler, Rigollet, Philippe +1 · 1 citation
    #58E #68W25 #FOS: Mathematics #Primary: 62F10 #Secondary: 90C26 #Statistics Theory (math.ST)
  29. Rejection sampling from shape-constrained distributions in sublinear time
    2021/05/29 by Sinho Chewi, Patrik Gerber, Chewi, Sinho +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
  30. Improved Discretization Analysis for Underdamped Langevin Monte Carlo
    2023/02/16 by Zhang, Matthew, Chewi, Sinho, Li, Mufan Bill +2 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  31. Stability of the Kim--Milman flow map
    2025/11/03 by Sinho Chewi, Chewi, Sinho, Aram-Alexandre Pooladian +3 · 2 citations
    Mathematics · #26D10 #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Geometry and complex manifolds #Machine Learning (cs.LG) #Point processes and geometric inequalities #Probability (math.PR) #Statistics Theory (math.ST)