
Aaron Sidford
Assistant Professor of Management Science and Engineering and of Computer Science
Academic Appointments
-
Assistant Professor, Management Science and Engineering
-
Assistant Professor, Computer Science
Current Research and Scholarly Interests
My research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
2021-22 Courses
- Discrete Mathematics and Algorithms
CME 305, MS&E 316 (Win) -
Independent Studies (9)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr, Sum) - Advanced Reading and Research
CS 499P (Win) - Curricular Practical Training
CS 390A (Aut, Win, Sum) - Curricular Practical Training
CS 390B (Sum) - Curricular Practical Training
CS 390C (Sum) - Directed Reading and Research
MS&E 408 (Aut, Win, Spr, Sum) - Independent Project
CS 399 (Win, Spr) - Ph.D. Research
CME 400 (Aut, Win, Spr, Sum) - Research
PHYSICS 490 (Win)
- Advanced Reading and Research
-
Prior Year Courses
2020-21 Courses
- Discrete Mathematics and Algorithms
CME 305, MS&E 316 (Win) - Introduction to Optimization Theory
CS 269O, MS&E 213 (Aut) - Senior Project
MS&E 108 (Win)
2019-20 Courses
- Discrete Mathematics and Algorithms
CME 305, MS&E 316 (Win) - Introduction to Optimization Theory
CS 269O, MS&E 213 (Aut)
2018-19 Courses
- Almost Linear Time Graph Algorithms
CS 269G, MS&E 313 (Aut) - Discrete Mathematics and Algorithms
CME 305, MS&E 316 (Win) - Introduction to Optimization Theory
CS 269O, MS&E 213 (Spr)
- Discrete Mathematics and Algorithms
Stanford Advisees
-
Doctoral Dissertation Reader (AC)
Maxwell Allman, Arun Jambulapati, Honglin Yuan -
Doctoral Dissertation Advisor (AC)
Yujia Jin, Yang Liu, Kiran Shiragur, Kevin Tian -
Orals Evaluator
Alexandra Porter, Kevin Tian -
Master's Program Advisor
Yosheb Getachew, Eric Kuang, Daniel Lee, Sharmila Nangi, Amrita Palaparthi, Kavya Srikanth, Elaine Sui, Annie Vesey, Yuxin Wu, Miao-Chin Yen -
Doctoral (Program)
Kevin Tian, Wanqiao Xu
All Publications
-
Parallel Reachability in Almost Linear Work and Square Root Depth
IEEE COMPUTER SOC. 2019: 1664–86
View details for DOI 10.1109/FOCS.2019.00098
View details for Web of Science ID 000510015300092
-
Faster Matroid Intersection
IEEE COMPUTER SOC. 2019: 1146–68
View details for DOI 10.1109/FOCS.2019.00072
View details for Web of Science ID 000510015300063
-
ACCELERATED METHODS FOR NONCONVEX OPTIMIZATION
SIAM JOURNAL ON OPTIMIZATION
2018; 28 (2): 1751–72
View details for DOI 10.1137/17M1114296
View details for Web of Science ID 000436991600031
-
Approximating Cycles in Directed Graphs: Fast Algorithms for Girth and Roundtrip Spanners
ASSOC COMPUTING MACHINERY. 2018: 1374–92
View details for Web of Science ID 000483921200092
-
Stability of the Lanczos Method for Matrix Function Approximation
ASSOC COMPUTING MACHINERY. 2018: 1605–24
View details for Web of Science ID 000483921200106
-
Efficient (O)over-tilde(n/epsilon) Spectral Sketches for the Laplacian and its Pseudoinverse
ASSOC COMPUTING MACHINERY. 2018: 2487–2503
View details for Web of Science ID 000483921200160
-
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes
ASSOC COMPUTING MACHINERY. 2018: 770–87
View details for Web of Science ID 000483921200051
-
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2018
View details for Web of Science ID 000461823305030
-
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2018
View details for Web of Science ID 000461823305022
-
Coordinate Methods for Accelerating l(infinity) Regression and Faster Approximate Maximum Flow
IEEE COMPUTER SOC. 2018: 922–33
View details for DOI 10.1109/FOCS.2018.00091
View details for Web of Science ID 000455014500082
-
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations
IEEE COMPUTER SOC. 2018: 898–909
View details for DOI 10.1109/FOCS.2018.00089
View details for Web of Science ID 000455014500080
-
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification
JOURNAL OF MACHINE LEARNING RESEARCH
2018; 18
View details for Web of Science ID 000438190100001
-
SINGLE PASS SPECTRAL SPARSIFICATION IN DYNAMIC STREAMS
SIAM JOURNAL ON COMPUTING
2017; 46 (1): 456-477
View details for DOI 10.1137/141002281
View details for Web of Science ID 000396677400017
-
Derandomization Beyond Connectivity: Undirected Laplacian Systems in Nearly Logarithmic Space
IEEE. 2017: 801–12
View details for DOI 10.1109/FOCS.2017.79
View details for Web of Science ID 000417425300070
-
Subquadratic Submodular Function Minimization
ASSOC COMPUTING MACHINERY. 2017: 1220–31
View details for DOI 10.1145/3055399.3055419
View details for Web of Science ID 000440317600107