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极光加速器永久免费版官方-暴雪vp永久免费加速器下载官网

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Paul Beame

Computational complexity, proof complexity, and satisfiability

Kevin Jamieson

Optimization, experimental design, machine learning

Sham Kakade

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Anna Karlin

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Algorithms, complexity, optimization, probability

Yin Tat Lee

Convex optimization, algorithms

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Jamie Morgenstern

Machine learning, algorithmic game theory

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Shayan Oveis Gharan

Algorithms, spectral graph theory, applied probability

Anup Rao

Complexity theory, communication complexity, information theory

Thomas Rothvoss

Discrete optimization and linear/integer programming

Stefano Tessaro

Cryptography, security, complexity theory, information theory

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Zeyuan Allen-Zhu (MSR)

Machine learning, optimization, algorithms.

Sebastien Bubeck (MSR)

Machine learning, combinatorial statistics, stochastic and convex optimization.

Nikhil Devanur (MSR)

Fundamental algorithms and algorithmic game theory.

Maryam Fazel (UW EE)

Mathematical optimization, data analysis, and control theory.

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Kamal Jain (Faira)

Developing new insights on commerce from a foundational perspective.

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Information theory and computational biology.

Robin Kothari (MSR)

quantum algorithms and complexity theory

Janardhan Kulkarni (MSR)

Algorithms

Ilya Razenshteyn (MSR)

Algorithms for geometrically structured data.

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Optimization and computational algebra

Sergey Yekhanin (MSR)

Error correcting codes, complexity theory, combinatorics

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Algorithms, Linear and Integer Programming

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Lalit Jain

Machine learning

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Algorithms, spectral graph theory, optimization

Xiaorui Sun (MSR)

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Algorithms, spectral graph theory

Yuqing Ai

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Jennifer Brennan

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Binyi Chen

Cryptography, security

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Approximation algorithms, probabilistic combinatorics

Sally Dong

Algorithms, combinatorics

Farzam Ebrahimnejad

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Ashrujit Ghoshal

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Information theory, combinatorics

Haotian Jiang

Optimization, algorithms, convex geometry

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Approximation algorithms, combinatorics

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Complexity, probability, quantum computing

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Algorithms, geometry of polynomials, spectral graph theory

Ji Luo

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Swati Padmanabhan

Convex optimization

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Complexity theory, communication complexity

Victor Reis

Combinatorial and convex optimization

Ruoqi Shen

Algorithms, optimization

Pratik Soni

Cryptography

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Complexity theory

Ewin Tang

Combinatorics, algorithms, quantum computing

Ben Terner

Cryptography

Robbie Weber

Graph algorithms

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Complexity, hardness reductions, impossbility results

Xihu Zhang

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Mechanism design, approximation algorithms, algorithmic game theory

Cyrus Rashtchian

Complexity theory, communication complexity, and analysis of Boolean functions

Alireza Rezaei

Approximation algorithms, spectral graph theory

Mert Saglam

Computational complexity

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Communication complexity, circuit lower bounds, applications of information theory

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UW Theory highlights

Kuikui Liu, Shayan Oveis Gharan and coauthors win a best paper award at STOC 2024 for their work on counting bases of matroids.

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Yin Tat Lee and coauthors win a 旋风加速器ios下载二维码 at NeurIPS 2018 for their work on algorithms for distributed optimization.

Ewin Tang is one of the 旋风加速器ios下载二维码.

旋风加速器专业版官网 wins the A. W. Tucker Prize for his thesis Faster Algorithms for Convex and Combinatorial Optimization.

Thomas Rothvoss wins the Fulkerson Prize for his work on the perfect matching polytope.

Yin Tat Lee wins an NSF CAREER Award.

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Shayan Oveis Gharan is named an ONR Young Investigator.

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The students of the UW theory group had an impressive presence at SODA 2017. Becca Hoberg and Thomas Rothvoss demonstrate A Logarithmic Additive Integrality Gap for Bin Packing; 旋风加速器.apk and Paul Beame prove new results on Massively Parallel Similarity Join, Edge-Isoperimetry, and Distance Correlations on the Hypercube; 旋风加速官网 and Shayan Oveis Gharan develop new Approximation Algorithms for Finding Maximum Induced Expanders.

Thomas Rothvoss is named a Packard Fellow.

Shayan Oveis Gharan named one of the “10 Scientists to Watch” by Science News.

Anna Karlin elected to the American Academy of Arts & Sciences.

Amos Fiat, Kira Goldner, Anna Karlin, and Elias Koutsoupias characterize the optimal auction in the “FedEx setting”, further demonstrating the importance of “ironing” and LP duality in mechanism design.

Alireza Rezaei, Shayan, and Nima Anari design efficient MCMC algorithms for sampling from homogeneous strongly Rayleigh measures, a generalization of k-determinantal point processes.

Anup Rao wins the 2016 SIAM Outstanding Paper Prize for his work with Boaz Barak, Mark Braverman and Xi Chen on how to compress interactive communication.

Elaine Levey and Thomas show how the Lasserre SDP hierarchy can be used to design new approximation algorithms for the classical problem of min-makespan scheduling with precedence constraints.

Rong Ge, Qingqing Huang, and 旋风加速器xf5app design new efficient algorithms for learning mixtures of Gaussians in high dimensions.

Makrand Sinha and Anup discover a simpler proof that information complexity is not the same as communication complexity.

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旋风加速器官网下载, Prasad Raghavendra, and David Steurer win a best paper award at STOC 2015 for proving the first super-polynomial lower bounds on semidefinite extension complexity.

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Thomas Rothvoss wins the best paper award at STOC 2014 for proving lower bounds on the extension complexity of the matching polytope. Lance Fortnow calls it the “complexity result of the year.”

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