aaron sidford cv
We are excited to have Professor Sidford join the Management Science & Engineering faculty starting Fall 2016. Many of my results use fast matrix multiplication In particular, it achieves nearly linear time for DP-SCO in low-dimension settings. Aaron Sidford - All Publications July 8, 2022. [pdf] [talk] [poster] However, even restarting can be a hard task here. Authors: Michael B. Cohen, Jonathan Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford Download PDF Abstract: We show how to solve directed Laplacian systems in nearly-linear time. 475 Via Ortega Office: 380-T with Aaron Sidford Yujia Jin. aaron sidford cvis sea bass a bony fish to eat. Source: appliancesonline.com.au. Before Stanford, I worked with John Lafferty at the University of Chicago. aaron sidford cv natural fibrin removal - libiot.kku.ac.th However, many advances have come from a continuous viewpoint. [last name]@stanford.edu where [last name]=sidford. She was 19 years old and looking - freewareppc.com Improved Lower Bounds for Submodular Function Minimization. We present an accelerated gradient method for nonconvex optimization problems with Lipschitz continuous first and second . [pdf] ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022, Stochastic Bias-Reduced Gradient Methods Secured intranet portal for faculty, staff and students. Emphasis will be on providing mathematical tools for combinatorial optimization, i.e. This work presents an accelerated gradient method for nonconvex optimization problems with Lipschitz continuous first and second derivatives that is Hessian free, i.e., it only requires gradient computations, and is therefore suitable for large-scale applications. Faster Matroid Intersection Princeton University In this talk, I will present a new algorithm for solving linear programs. [pdf] [talk] [poster] We prove that deterministic first-order methods, even applied to arbitrarily smooth functions, cannot achieve convergence rates in $$ better than $^{-8/5}$, which is within $^{-1/15}\\log\\frac{1}$ of the best known rate for such . << Efficient accelerated coordinate descent methods and faster algorithms for solving linear systems. Source: www.ebay.ie 2022 - Learning and Games Program, Simons Institute, Sept. 2021 - Young Researcher Workshop, Cornell ORIE, Sept. 2021 - ACO Student Seminar, Georgia Tech, Dec. 2019 - NeurIPS Spotlight presentation. Articles 1-20. with Yair Carmon, Danielle Hausler, Arun Jambulapati and Aaron Sidford International Colloquium on Automata, Languages, and Programming (ICALP), 2022, Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods Assistant Professor of Management Science and Engineering and of Computer Science. Iterative methods, combinatorial optimization, and linear programming In Foundations of Computer Science (FOCS), 2013 IEEE 54th Annual Symposium on. ICML, 2016. PDF Daogao Liu David P. Woodruff - Carnegie Mellon University aaron sidford cv 9-21. Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Efficient Convex Optimization Requires . I am a fifth year Ph.D. student in Computer Science at Stanford University co-advised by Gregory Valiant and John Duchi. I am a fifth-and-final-year PhD student in the Department of Management Science and Engineering at Stanford in the Operations Research group. Sampling random spanning trees faster than matrix multiplication Sequential Matrix Completion. Stability of the Lanczos Method for Matrix Function Approximation Cameron Musco, Christopher Musco, Aaron Sidford ACM-SIAM Symposium on Discrete Algorithms (SODA) 2018. [pdf] [talk] [poster] Yin Tat Lee and Aaron Sidford; An almost-linear-time algorithm for approximate max flow in undirected graphs, and its multicommodity generalizations. The paper, Efficient Convex Optimization Requires Superlinear Memory, was co-authored with Stanford professor Gregory Valiant as well as current Stanford student Annie Marsden and alumnus Vatsal Sharan. The site facilitates research and collaboration in academic endeavors. STOC 2023. ", "Faster algorithms for separable minimax, finite-sum and separable finite-sum minimax. [pdf] I regularly advise Stanford students from a variety of departments. of practical importance. Applying this technique, we prove that any deterministic SFM algorithm . Lower bounds for finding stationary points II: first-order methods. We provide a generic technique for constructing families of submodular functions to obtain lower bounds for submodular function minimization (SFM). Before joining Stanford in Fall 2016, I was an NSF post-doctoral fellow at Carnegie Mellon University ; I received a Ph.D. in mathematics from the University of Michigan in 2014, and a B.A. Selected for oral presentation. I received my PhD from the department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology where I was advised by Professor Jonathan Kelner. I am an assistant professor in the department of Management Science and Engineering and the department of Computer Science at Stanford University. with Hilal Asi, Yair Carmon, Arun Jambulapati and Aaron Sidford July 2015. pdf, Szemerdi Regularity Lemma and Arthimetic Progressions, Annie Marsden. I graduated with a PhD from Princeton University in 2018. Alcatel One Touch Flip Phone - New Product Recommendations, Promotions aaron sidford cv Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford. ", "An attempt to make Monteiro-Svaiter acceleration practical: no binary search and no need to know smoothness parameter! I am generally interested in algorithms and learning theory, particularly developing algorithms for machine learning with provable guarantees. ", "We characterize when solving the max \(\min_{x}\max_{i\in[n]}f_i(x)\) is (not) harder than solving the average \(\min_{x}\frac{1}{n}\sum_{i\in[n]}f_i(x)\). with Yair Carmon, Arun Jambulapati and Aaron Sidford "I am excited to push the theory of optimization and algorithm design to new heights!" Assistant Professor Aaron Sidford speaks at ICME's Xpo event. ", "A new Catalyst framework with relaxed error condition for faster finite-sum and minimax solvers. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission . He received his PhD from the Electrical Engineering and Computer Science Department at the Massachusetts Institute of Technology, where he was advised by Jonathan Kelner. We establish lower bounds on the complexity of finding $$-stationary points of smooth, non-convex high-dimensional functions using first-order methods. [c7] Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian: Private Convex Optimization in General Norms. 5 0 obj Etude for the Park City Math Institute Undergraduate Summer School. My CV. 2021. My research interests lie broadly in optimization, the theory of computation, and the design and analysis of algorithms. Here is a slightly more formal third-person biography, and here is a recent-ish CV. I hope you enjoy the content as much as I enjoyed teaching the class and if you have questions or feedback on the note, feel free to email me. I am fortunate to be advised by Aaron Sidford. Eigenvalues of the laplacian and their relationship to the connectedness of a graph. COLT, 2022. MI #~__ Q$.R$sg%f,a6GTLEQ!/B)EogEA?l kJ^- \?l{ P&d\EAt{6~/fJq2bFn6g0O"yD|TyED0Ok-\~[`|4P,w\A8vD$+)%@P4 0L ` ,\@2R 4f Google Scholar Digital Library; Russell Lyons and Yuval Peres. Their, This "Cited by" count includes citations to the following articles in Scholar. Research interests : Data streams, machine learning, numerical linear algebra, sketching, and sparse recovery.. MS&E213 / CS 269O - Introduction to Optimization Theory Aaron Sidford | Management Science and Engineering This site uses cookies from Google to deliver its services and to analyze traffic. Yang P. Liu - GitHub Pages [pdf] ReSQueing Parallel and Private Stochastic Convex Optimization. >CV >code >contact; My PhD dissertation, Algorithmic Approaches to Statistical Questions, 2012. ", "Streaming matching (and optimal transport) in \(\tilde{O}(1/\epsilon)\) passes and \(O(n)\) space. Towards this goal, some fundamental questions need to be solved, such as how can machines learn models of their environments that are useful for performing tasks . 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 . by Aaron Sidford. . Aaron Sidford, Gregory Valiant, Honglin Yuan COLT, 2022 arXiv | pdf. Neural Information Processing Systems (NeurIPS, Oral), 2020, Coordinate Methods for Matrix Games The Journal of Physical Chemsitry, 2015. pdf, Annie Marsden. Many of these algorithms are iterative and solve a sequence of smaller subproblems, whose solution can be maintained via the aforementioned dynamic algorithms. Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness. /Filter /FlateDecode About Me. Secured intranet portal for faculty, staff and students. Thesis, 2016. pdf. Accelerated Methods for NonConvex Optimization | Semantic Scholar BayLearn, 2021, On the Sample Complexity of Average-reward MDPs Gary L. Miller Carnegie Mellon University Verified email at cs.cmu.edu. publications by categories in reversed chronological order. 2022 - current Assistant Professor, Georgia Institute of Technology (Georgia Tech) 2022 Visiting researcher, Max Planck Institute for Informatics. MS&E welcomes new faculty member, Aaron Sidford ! Daniel Spielman Professor of Computer Science, Yale University Verified email at yale.edu. Two months later, he was found lying in a creek, dead from . SODA 2023: 5068-5089. Our algorithm combines the derandomized square graph operation (Rozenman and Vadhan, 2005), which we recently used for solving Laplacian systems in nearly logarithmic space (Murtagh, Reingold, Sidford, and Vadhan, 2017), with ideas from (Cheng, Cheng, Liu, Peng, and Teng, 2015), which gave an algorithm that is time-efficient (while ours is . I am a fifth-and-final-year PhD student in the Department of Management Science and Engineering at Stanford in Publications | Jakub Pachocki - Harvard University I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures. dblp: Yin Tat Lee (, In Symposium on Foundations of Computer Science (FOCS 2015) (, In Conference on Learning Theory (COLT 2015) (, In International Conference on Machine Learning (ICML 2015) (, In Innovations in Theoretical Computer Science (ITCS 2015) (, In Symposium on Fondations of Computer Science (FOCS 2013) (, In Symposium on the Theory of Computing (STOC 2013) (, Book chapter in Building Bridges II: Mathematics of Laszlo Lovasz, 2020 (, Journal of Machine Learning Research, 2017 (. [1811.10722] Solving Directed Laplacian Systems in Nearly-Linear Time Page 1 of 5 Aaron Sidford Assistant Professor of Management Science and Engineering and of Computer Science CONTACT INFORMATION Administrative Contact Jackie Nguyen - Administrative Associate In each setting we provide faster exact and approximate algorithms. [pdf] with Sepehr Assadi, Arun Jambulapati, Aaron Sidford and Kevin Tian with Kevin Tian and Aaron Sidford Huang Engineering Center Allen Liu - GitHub Pages To appear as a contributed talk at QIP 2023 ; Quantum Pseudoentanglement. This work characterizes the benefits of averaging techniques widely used in conjunction with stochastic gradient descent (SGD). Aaron Sidford's Profile | Stanford Profiles CME 305/MS&E 316: Discrete Mathematics and Algorithms Aaron Sidford Department of Electrical Engineering, Stanford University, 94305, Stanford, CA, USA Aaron Sidford receives best paper award at COLT 2022
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