Vatsal Sharan, Kai Sheng Tai, Peter Bailis, and Gregory Valiant, Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data. Sidford, A., Wang, M., Wu, X., Yang, L. F., Ye, Y., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). Before attending Stanford, I graduated from MIT in May 2018. Activities and Services Committee for the Sloan Research Fellowships in Computer Science (active). Copyright © 2021 ACM, Inc. STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, SODA '20: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms, STOC 2019: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, Constant girth approximation for directed graphs in subquadratic time, Solving tall dense linear programs in nearly linear time, Faster energy maximization for faster maximum flow, Fast and space efficient spectral sparsification in dynamic streams, Near-optimal approximate discrete and continuous submodular function minimization, Memory-sample tradeoffs for linear regression with small error, All Holdings within the ACM Digital Library. Aaron Sidford. Network flows. Cameron Musco, Christopher Musco, Aaron Sidford ACM-SIAM Symposium on Discrete Algorithms (SODA 2018). Invited to the special issue CoRR abs/1906.07975 (2019). The ACM DL is a comprehensive repository of publications from the entire field of computing. The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Co-organizer for the Simons Foundations of Machine Learning, Winter, 2017 Co-chair for the Simon's Representational Learning workshop, March, 2017 Co-chair for the IMS-MSR Workshop: Foundations … Page 1 of 6. I am broadly interested in optimization problems, sometimes in the intersection with … 911–920, 2013. Stanford University. (1962) and Ph.D. … Ramya Vinayak, Weihao Kong, Gregory Valiant, and Sham Kakade, Maximum Likelihood Estimation for Learning Populations … With very common family names, typical in Asia, more liberal algorithms result in mistaken merges. Recursive Sampling for the Nyström Method Cameron Musco, Christopher Musco Conference on Neural Information Processing Systems (NeurIPS 2017). Aaron Sidford is an Assistant Professor of Management Science and Engineering at Stanford University, where he also has a courtesy appointment in Computer Science and an affiliation with the Institute for Computational and Mathematical Engineering (ICME). I also am interested in geometric functional analysis and combinatorics (CV). Gates Computer Science Building 353 Jane Stanford Way Stanford, CA 94305. Author’s Email; Skip slideshow. [Proceedings] Email: naman33k@gmail.com . Phone: (650) 723-2300 Admissions: admissions@cs.stanford.edu. LIN F. YANG. Most frequent Affiliation Bibliometrics. The ACM Digital Library is published by the Association for Computing Machinery. Poster. Murtagh, Jack, Omer Reingold, Aaron Sidford, and Salil Vadhan. Cohen, M. B., Kelner, J., Kyng, R., Peebles, J., Peng, R., Rao, A. Funding: I am currently supported by NSF awards CCF 1565264 and CNS 1618026, a Simons Investigator Fellowship and DARPA grant W911NF2010021. In SIAM Journal on Computing (SICOMP), Vol. I graduated with a PhD in Computer Science from Princeton University where I was fortunate to be advised by Elad Hazan.Previously, I graduated with a Masters of … Congratulations to Aaron Sidford for being awarded the Microsoft Research Faculty Fellowship! I am a third-year PhD student in the Department of Management Science and Engineering at Stanford in the Operations Research group, advised by Aaron Sidford.. Extreme Tensoring for Low-Memory Preconditioning Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang Arxiv Link:https://arxiv.org/abs/1902.04620 Home Aaron Sidford. 2016.“ Geometric median in nearly linear time.”In Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2016, Cambridge, MA, USA, June 18-21, 2016, Pp. However, many advances have come from a continuous viewpoint. My research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. Harvard University John A. Paulson School of Engineering and Applied Sciences Maxwell Dworkin 337 Salil Vadhan 33 Oxford Street Vicky Joseph Professor Cambridge, MA 02138 USA of Computer Science This workshop will be held on Thursday, October 29, 3-4:30 pm in 4-153 and will cover the important elements of a CV, including strategies for how to showcase your particular knowledge and experiences effectively. My research focuses on developing and applying fast algorithms for machine learning and data science. An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics. John E. Hopcroft is the IBM Professor of Engineering and Applied Mathematics in Computer Science at Cornell University.From January 1994 until June 2001, he was the Joseph Silbert Dean of Engineering. B., Sidford, A., Thorup, M. Efficient (O)over-tilde(n/epsilon) Spectral Sketches for the Laplacian and its Pseudoinverse, Jambulapati, A., Sidford, A., Assoc Comp Machinery, Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes, Sidford, A., Wang, M., Wu, X., Ye, Y., Assoc Comp Machinery, Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model. Former interns: Moritz Hardt, Jonah Sherman, Yuan Zhou, Li-Yang Tan, Aaron Sidford, Aaron Potechin, Pravesh Kothari, Sam Hopkins. A direct search interface for Author Profiles will be built. Combining a profile directory with a social networking backend, CAP makes it easy for you to work closely with colleagues and track the projects that matter most to you - … 9–21. Graphs. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai manuscript Efficient Algorithms for Multidimensional Segmented Regression Ilias … Manuscript, 2020. The design of algorithms is traditionally a discrete endeavor. The CV is used for the academic job search and in some cases for PhDs seeking a research position in other settings. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures. Associate Professor of . [26] Batch Active Learning Using Determinantal Point Processes Manuscript Erdem Bıyık, Kenneth Wang, Nima Anari, and Dorsa Sadigh. 2016. Assistant Professor, Management Science and Engineering. Jerry Li, Aaron Sidford, Kevin Tian, Huishuai Zhang manuscript Finding the Mode of a Kernel Density Estimate Jasper C.H. Aaron Sidford is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Boaz Barak { Curriculum Vitae January 2020 1 Personal Details Name: Boaz Barak ... Li-Yang Tan, Aaron Potechin, Aaron Sidford (co advised with Sham Kakade), Pravesh Kothari, Samuel Hopkins. CSE 535: Theory of Optimization and Continuous Algorithms. With Jonathan A. Kelner, Aaron Sidford and Zeyuan Allen-Zhu. My name is Lin Yang (杨林). I am a Research Scientist at Google AI Princeton. ICML, 2019. View research. Last year's Top keyword. Research interests : Data streams, machine learning, numerical linear algebra, sketching, and sparse recovery.. ICML, 2019. ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. Naman Agarwal. Symp. View research. I am an assistant professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles. My research interests lie primarily in the areas of The fellowship recognizes innovative, promising early career faculty whose exceptional talent for research and innovation identifies them as emerging leaders in their fields. Carmon, Y., Duchi, J. C., Hinder, O., Sidford, A. Aaron Sidford. Sample code for the version of Lanczos analyzed: lanczos.m. Computer Science. PHOTO CREDIT: ELI SHELL, STVP What is your research area within MS&E? It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. Theory Computing, pp. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing. Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification. Search for Aaron Sidford's work. “Geometric median in nearly linear time.” In Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2016, Cambridge, MA, USA, June 18-21, 2016, Pp. First theoretic improvement on the running time of linear programming since 1986. with Aaron Bernstein, Maximilian Probst Gutenberg, Danupon Nanongkai, Thatchaphol Saranurak, Aaron Sidford and He Sun. View details for DOI 10.1109/FOCS.2019.00098, View details for Web of Science ID 000510015300092, View details for DOI 10.1109/FOCS.2019.00072, View details for Web of Science ID 000510015300063, View details for DOI 10.1109/FOCS.2018.00089, View details for Web of Science ID 000455014500080, View details for Web of Science ID 000483921200160, View details for Web of Science ID 000483921200051, View details for Web of Science ID 000461823305022, View details for Web of Science ID 000438190100001, View details for Web of Science ID 000483921200092, View details for Web of Science ID 000483921200106, View details for Web of Science ID 000461823305030, View details for DOI 10.1109/FOCS.2018.00091, View details for Web of Science ID 000455014500082, View details for Web of Science ID 000436991600031, View details for Web of Science ID 000396677400017, View details for DOI 10.1109/FOCS.2017.79, View details for Web of Science ID 000417425300070, View details for DOI 10.1145/3055399.3055419, View details for Web of Science ID 000440317600107, Assistant Professor, Management Science and Engineering, Department: Management Science and Engineering, Parallel Reachability in Almost Linear Work and Square Root Depth, Jambulapati, A., Liu, Y. P., Sidford, A., IEEE, Chakrabarty, D., Lee, Y., Sidford, A., Singla, S., Wong, S., IEEE, Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. SINGLE PASS SPECTRAL SPARSIFICATION IN DYNAMIC STREAMS. Prof. Sidford is an Assistant Professor of Management Science and Engineering at Stanford University, where he Campus Map Journal-ref: Data Mining and Knowledge Discovery, volume 32, pages 1509 to 1560, year 2018 STOC 2020. CAP Network is a virtual workspace to support collaboration among faculty, graduate students, postdocs and staff. It is ACM's intention to make the derivation of any publication statistics it generates clear to the user. MS&E welcomes new faculty member, Aaron Sidford! Many bibliographic records have only author initials. Jain, P., Netrapalli, P., Kakade, S. M., Kidambi, R., Sidford, A. Approximating Cycles in Directed Graphs: Fast Algorithms for Girth and Roundtrip Spanners, Pachocki, J., Roditty, L., Sidford, A., Tov, R., Williams, V., Assoc Comp Machinery, Stability of the Lanczos Method for Matrix Function Approximation, Musco, C., Musco, C., Sidford, A., Assoc Comp Machinery, Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression. Most frequent co-Author Most cited colleague Last year's Top subject. Naman Agarwal , Sham Kakade , Rahul Kidambi , Yin Tat Lee , Praneeth Netrapalli , Aaron Sidford , “Leverage Score Sampling for Faster Accelerated Regression and ERM”, In Conference on Algorithmic Learning Theory (ALT), 2020. Co-organizer for the Simons Symposium on New Directions in Theoretical Machine Learning, May 2019. with He Sun and Luca Zanetti. David P. Woodruff . 3 Thesis committee member: Anup Rao (University of Texas, Austin), Manoj Parbhakaran 9–21. Kai Sheng Tai, Peter Bailis, and Gregory Valiant, Equivariant Transformer Networks. Participate in an MIT graduate student forum on questions from the report “MIT and the Prosecution of Aaron Swartz.” Hosted by Faculty Chair Steven Hall and Biology Professor Chris Kaiser, this forum will take place on January 30th from 5:00-6:00 pm in the Mezzanine Lounge at the Student Center (W20-307). Michael B. Cohen, Yin Tat Lee, Gary L. Miller, Jakub Pachocki, and Aaron Sidford. Partitioning Well-Clustered Graphs: Spectral Clustering Works! University of Washington, USA / Microsoft Research, USA, Institute for Advanced Study at Princeton, USA / Princeton University, USA. We are excited to have Professor Sidford join the Management Science & Engineering faculty starting Fall 2016. “Derandomization beyond connectivity: Undirected Laplacian systems in nearly logarithmic space.” 58th Annual IEEE Symposium on Foundations of Computer Science (FOCS `17), 2017. Many names lack affiliations. Gupta, N., Sidford, A., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. Coordinate Methods for Accelerating l(infinity) Regression and Faster Approximate Maximum Flow, ACCELERATED METHODS FOR NONCONVEX OPTIMIZATION. 46 No. Tight Hardness for Shortest Cycles and Paths in Sparse Graphs, Andrea Lincoln, V. Vassilevska Williams and Ryan Williams, SODA 2018. STOC’13: Proc. 2, pp 710-743, 2017. Contact: dwoodruf (at) cs (dot) cmu (dot) edu or dpwoodru (at) gmail (dot) com CV (updated Dec, 2020) CoRR abs/2004.02425 (2020). Awarded Papers [ bib] Path Finding Methods for Linear Programming: Solving Linear Programs in $\tilde{O}(\sqrt{\mathrm{rank}})$ Iterations and Faster Algorithms for Maximum Flow with Aaron Sidford on FOCS 2014 . Michael B. Cohen, Yin Tat Lee, Gary L. Miller, Jakub Pachocki, and Aaron Sidford. Slides: 60 Minutes. The site facilitates research and collaboration in academic endeavors. Approximating Cycles in Directed Graphs, Jakub Pachocki, Liam Roditty, Aaron Sidford, Roei Tov and V. Vassilevska Williams, SODA 2018. Automatic normalization of author names is not exact. "I am excited to push the theory of optimization and algorithm design to new heights!" Rong Ge , Sham M. Kakade , Rahul Kidambi , Praneeth Netrapalli , “The Step Decay Schedule: A Near-Optimal Search Search. Kapralov, M., Lee, Y. T., Musco, C. N., Musco, C. P., Sidford, A. Derandomization Beyond Connectivity: Undirected Laplacian Systems in Nearly Logarithmic Space, Murtagh, J., Reingold, O., Sidford, A., Vadhan, S., IEEE, Subquadratic Submodular Function Minimization, Chakrabarty, D., Lee, Y., Sidford, A., Wong, S., Hatami, H., McKenzie, P., King, School of Earth, Energy and Environmental Sciences, Freeman Spogli Institute for International Studies, Institute for Computational and Mathematical Engineering (ICME), Institute for Human-Centered Artificial Intelligence (HAI), Institute for Stem Cell Biology and Regenerative Medicine, Stanford Institute for Economic Policy Research (SIEPR), Stanford Woods Institute for the Environment, Office of VP for University Human Resources, Office of Vice President for Business Affairs and Chief Financial Officer. Solving Tall Dense Linear Programs in Nearly Linear Time with Yin Tat Lee, Aaron Sidford and Zhao Song. Best paper and best student paper in FOCS 2014. We use cookies to ensure that we give you the best experience on our website. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. After receiving both his M.S. I am interested in theoretical computer science at large, especially algorithm design. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community. In September 2018, I started a PhD at Stanford University in mathematics, and am advised by Aaron Sidford. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience. Yujia Jin. Naman Agarwal, Sham M. Kakade, Rahul Kidambi, Yin Tat Lee, Praneeth Netrapalli, Nima Anari, Moses Charikar, Kirankumar Shiragur, and Aaron Sidford.