", "A general continuous optimization framework for better dynamic (decremental) matching algorithms. Discrete Mathematics and Algorithms: An Introduction to Combinatorial Optimization: I used these notes to accompany the course Discrete Mathematics and Algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures. Mary Wootters - Google Navajo Math Circles Instructor. Personal Website. [pdf] [poster] I often do not respond to emails about applications. 2021. [pdf] International Conference on Machine Learning (ICML), 2021, Acceleration with a Ball Optimization Oracle >> [pdf] 172 Gates Computer Science Building 353 Jane Stanford Way Stanford University dblp: Daogao Liu with Vidya Muthukumar and Aaron Sidford I am fortunate to be advised by Aaron Sidford . [pdf] We organize regular talks and if you are interested and are Stanford affiliated, feel free to reach out (from a Stanford email). With Cameron Musco, Praneeth Netrapalli, Aaron Sidford, Shashanka Ubaru, and David P. Woodruff. [pdf] with Kevin Tian and Aaron Sidford 4026. Optimization Algorithms: I used variants of these notes to accompany the courses Introduction to Optimization Theory and Optimization . We are excited to have Professor Sidford join the Management Science & Engineering faculty starting Fall 2016. Faculty Spotlight: Aaron Sidford. Their, This "Cited by" count includes citations to the following articles in Scholar. I am a fifth year Ph.D. student in Computer Science at Stanford University co-advised by Gregory Valiant and John Duchi. Faster Matroid Intersection Princeton University I maintain a mailing list for my graduate students and the broader Stanford community that it is interested in the work of my research group. CV (last updated 01-2022): PDF Contact. Outdated CV [as of Dec'19] Students I am very lucky to advise the following Ph.D. students: Siddartha Devic (co-advised with Aleksandra Korolova . . In September 2018, I started a PhD at Stanford University in mathematics, and am advised by Aaron Sidford. Yu Gao, Yang P. Liu, Richard Peng, Faster Divergence Maximization for Faster Maximum Flow, FOCS 2020 MS&E213 / CS 269O - Introduction to Optimization Theory to appear in Neural Information Processing Systems (NeurIPS), 2022, Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching the Operations Research group. I am broadly interested in optimization problems, sometimes in the intersection with machine learning UGTCS
Jones Funeral Home Jacksonville Nc,
Non Tacky Resorts Canary Islands,
Is Marilyn Hickey Still Alive,
Articles A