All Rights Reserved. Yin Tat Lee is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Yin Tat Lee, Ruoqi Shen, Kevin Tian: Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo.
Interests. Yin Tat is a Technology professional with Infineum since 2015. With an extremely fun team of co-authors (Yin Tat Lee, Yuanzhi Li, Mark Sellke) we finally managed to obtain a competitive algorithm for chasing convex bodies (after a couple of years of infructuous attempts), see also this youtube video.We also obtained a rather complete picture of the nested version of the problem. About. He completed his PhD at Massachusetts Institute of Technology and his undergraduate studies at the Chinese University of Hong Kong. Yin Tat Lee. I am broadly interested in theoretical computer science. Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time Faster algorithms for fundamental convex problems and their applications in combinatorial optimization Abstract Convex optimization has …
Theory of Computation.
Read Yin Tat Lee's latest research, browse their coauthor's research, and play around with their algorithms His research interests are primarily in algorithms and they span a wide range of topics such as convex optimization, convex geometry, spectral graph theory, and online algorithms. Papers/Manuscripts. Ewin Tang is one of the Forbes 30-under-30 in Science . Yin Tat Lee and coauthors win a best paper award at NeurIPS 2018 for their work on algorithms for distributed optimization. Visit our Algorithms, convex optimization, convex geometry, spectral graph theoryI am a Postdoc at Microsoft Research and will be joining Computer Science & Engineering at the University of Washington in Fall 2017.Paul G. Allen School of Computer Science & EngineeringUndergraduate Advising: ugrad-advisor at cs.washington.eduCopyright © 2017-2019 University of Washington - Seattle - I am a Postdoc at Microsoft Research and will be joining Computer Science & Engineering at the University of Washington in Fall 2017. He graduated from the National University of Singapore (NUS) / Imperial College London with a Bachelor in Chemical Engineering (First Class Honours) and a Minor in Management on a full merit scholarship in 2011. As a result, he has received a variety of awards for his work, including Best Paper Award and 2 x Best Student Paper Awards at FOCS, Best Paper Award at SODA, Best Paper Award at NeurIPS, Sprowls Award, NSF CAREER Award, A.W. Yin Tat Lee is an assistant professor in the Computer Science and Engineering department at the University of Washington. Andy Lee Yin Tat Director (Hong Kong & Macau) Andy is a qualified quantity surveyor with 20 years professional experience gained from working on projects in Hong Kong, China and Macau. @inproceedings{BCLLM18, author = {S{\'{e}}bastien Bubeck and Michael B. Cohen and As corollaries we obtain the same improved Areas of interest: Algorithms, convex optimization, convex geometry, spectral graph theory. Paul G. Allen School of Computer Science & Engineering | All Rights |
Yin Tat Lee wins the A. W. Tucker Prize for his thesis Faster Algorithms for Convex and Combinatorial Optimization . His research interests are primarily in algorithms, and they span a wide range of topics such as convex optimization, convex geometry, spectral graph … CSE 562. yintat cs.washington.edu.
Yin Tat Lee is an Assistant Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, and a visiting researcher in Microsoft Research AI. Yin Tat Lee†, Santosh S. Vempala ‡ January 29, 2019 Abstract We show that the Cheeger constant for n-dimensional isotropic logconcave measures is O(n1/4), improving on the previous best bound of O(n1/3 √ logn). He received his PhD from MIT in 2016. His research interests are primarily in algorithms and they span a wide range of topics such as convex optimization, convex geometry, spectral graph theory, and online algorithms.Over the past few years, Yin Tat combined ideas from continuous and discrete mathematics to substantially advance the state-of-the-art algorithms for solving many fundamental problems in computer science and optimization, such as linear programming and the maximum flow problem. CoRR abs/2002.04121 (2020) The majority of Allen School operations, including classes and academic advising, are currently online only. Guanghao Ye (叶光昊) I’m a third-year BS/MS student at Paul G. Allen School of Computer Science & Engineering at the University of Washington, where I am very fortunate to be advised by Yin Tat Lee.. Tucker Prize, Microsoft Research Faculty Fellowship, and Sloan Research Fellowship.© 2013–2020 Simons Institute for the Theory of Computing. Most staff are working remotely and available via email.