Theory of Computation @ UW

Theory   |   CSE   |   MSR ALG   |   MSR ML+O  

Theory talks:

  [ earlier | later ]   [ google calendar ]

Faculty

Paul Beame

Computational complexity, proof complexity, and satisfiability

Sham Kakade

Data science, optimization, statistics, machine learning.

Anna Karlin

Algorithms and algorithmic game theory.

James R. Lee

Algorithms, complexity, and optimization. Geometry and analysis at the interface between continuous and discrete.

Yin Tat Lee

Convex optimization, algorithms

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.

Affiliated Researchers

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.

Kamal Jain (Faira)

Developing new insights on commerce from a foundational perspective.

Sreeram Kannan (UW EE)

Information theory and computational biology.

Robin Kothari (MSR)

quantum algorithms and complexity theory

Janardhan Kulkarni (MSR)

Algorithms

Yuval Peres (MSR)

Probability, random walks, percolation, mixing times, phase transitions, ergodic theory, game theory.

Ilya Razenshteyn (MSR)

Algorithms for geometrically structured data.

Rekha Thomas (UW Math)

Optimziation and compuational algebra

Sergey Yekhanin (MSR)

Error correcting codes, complexity theory, combinatorics

Seattle TCS postdocs

Becca Hoberg (UW Math)

Algorithms, Linear and Integer Programming

Xiaorui Sun (MSR)

Algorithms, big data processing

Graduate students

Yuqing Ai

Algorithms, spectral graph theory, optimization

Sami Davies

Approximation algorithms, probabilistic combinatorics

Farzam Ebrahimnejad

Algorithms, spectral graph theory

Kira Goldner

Algorithmic game theory, probability, algorithms

Jeffrey Hon

Algorithms and complexity theory

Vincent Liew

Complexity, probability, quantum computing

Swati Padmanabhan

Convex optimization

Siva Ramamoorthy

Complexity theory, communication complexity

Cyrus Rashtchian

Complexity theory, communication complexity, and analysis of Boolean functions

Alireza Rezaei

Approximation algorithms, spectral graph theory

Mert Saglam

Computational complexity

Makrand Sinha

Communication complexity, circuit lower bounds, applications of information theory

Robbie Weber

Graph algorithms

Xin Yang

Complexity, hardness reductions, impossbility results

Theory courses

Spring 2018 Competitive analysis via convex optimization (Bubeck and J. Lee)

Winter 2018 Interplay between convex optimization and geometry (Y. T. Lee)

Winter 2018 Student reading group (lattices)

Fall 2017 Counting and sampling (Oveis Gharan)

Spring 2017 Algorithms and uncertainty (Devanur and Karlin)

Fall 2016 Randomized algorithms & probabilistic analysis (J. Lee)

Spring 2016 Integer Optimization and Lattices (Rothvoss)

Winter 2016 Entropy optimality (J. Lee)

Fall 2015 Communication complexity (Rao)

Spring 2015 Recent developments in approximation algorithms (Oveis Gharan)

UW Theory highlights

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; Cyrus Rashtchian and Paul Beame prove new results on Massively Parallel Similarity Join, Edge-Isoperimetry, and Distance Correlations on the Hypercube; Alireza Rezaei 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.

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 Sham Kakade design new efficient algorithms for learning mixtures of Gaussians in high dimensions.

Siva Ramamoorthy and Anup give new techniques to compress communication protocols when the amount of communication is asymmetric.

James R. Lee, 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.

By proving a generalization of the Kadison-Singer conjecture, Shayan Oveis Gharan and Nima Anari give an improved bound on the integrality gap of the classical Held-Karp relaxation for the Asymmetric Traveling Salesman Problem.

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.”