Computational complexity, proof complexity, and satisfiability

Optimization, experimental design, machine learning

Data science, optimization, statistics, machine learning

Algorithms and algorithmic game theory

Algorithms, complexity, optimization, probability

Convex optimization, algorithms

Cryptography, security, complexity theory

Machine learning, algorithmic game theory

Algorithms, spectral graph theory, applied probability

Complexity theory, communication complexity, information theory

Discrete optimization and linear/integer programming

Cryptography, security, complexity theory, information theory

Machine learning, optimization, algorithms.

Machine learning, combinatorial statistics, stochastic and convex optimization.

Fundamental algorithms and algorithmic game theory.

Mathematical optimization, data analysis, and control theory.

Developing new insights on commerce from a foundational perspective.

Information theory and computational biology.

quantum algorithms and complexity theory

Algorithms

Algorithms for geometrically structured data.

Optimization and computational algebra

Error correcting codes, complexity theory, combinatorics

Algorithms, Linear and Integer Programming

Cryptography, security

Machine learning

Cryptography

Algorithms, spectral graph theory, optimization

Algorithms, big data processing

Algorithms, spectral graph theory

Algorithms, spectral graph theory, optimization

Machine learning, active learning

Cryptography, security

Approximation algorithms, probabilistic combinatorics

Algorithms, combinatorics

Algorithms, spectral graph theory

Cryptography, security, complexity theory

Algorithms and complexity theory

Information theory, combinatorics

Optimization, algorithms, convex geometry

Approximation algorithms, combinatorics

Complexity, probability, quantum computing

Algorithms, geometry of polynomials, spectral graph theory

Cryptography, complexity theory

Convex optimization

Complexity theory, communication complexity

Combinatorial and convex optimization

Algorithms, optimization

Cryptography

Complexity theory

Combinatorics, algorithms, quantum computing

Cryptography

Graph algorithms

Complexity, hardness reductions, impossbility results

Cryptography, complexity theory

Mechanism design, approximation algorithms, algorithmic game theory

Complexity theory, communication complexity, and analysis of Boolean functions

Approximation algorithms, spectral graph theory

Computational complexity

Communication complexity, circuit lower bounds, applications of information theory

**
SP
18**
Competitive analysis via convex optimization
(S. Bubeck and J. Lee)

**
WI
18**
Interplay between convex optimization and geometry
(Y. T. Lee)

**Kuikui Liu**, **Shayan Oveis Gharan** and coauthors win a best paper award at STOC 2019 for
their work on counting bases of matroids.

**Shayan Oveis Gharan** is named a 2019 Sloan Research Fellow.

**Yin Tat Lee** and coauthors win a best paper award at NeurIPS 2018 for
their work on algorithms for distributed optimization.

**Ewin Tang** is one of the Forbes 30-under-30 in Science.

**Yin Tat Lee** 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.

**James R. Lee** is named a Simons Investigator.

**Shayan Oveis Gharan** is named an ONR Young Investigator.

**Kira Goldner** is named a Microsoft Research PhD Fellow.

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.

**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 **Sham Kakade** 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.

**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.”