← Authors

Alistair Stewart

12 papers · 2017–2021 · 3 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (19) 🀝 Dynamic Duo (12) πŸ’Ž Century Club (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (57)

Conferences

NIPS (6) COLT (4) ICML (2)

Top co-authors

Ilias Diakonikolas (12) Daniel M. Kane (5) Daniel Kane (4) Anastasios Sidiropoulos (2) Jerry Li (2) Gautam Kamath (2) Sushrut Karmalkar (1) Ankur Moitra (1) Timothy Carpenter (1) ClΓ©ment L Canonne (1)

Keywords

sample complexity (5) total variation distance (3) outlier detection (2) log-concave density (2) robust learning (2) exponential family (2) bayesian network (2) distribution testing (2) property testing (2) adversarial corruption (2) polynomial time algorithm (2) high-dimensional statistics (2) robust estimation (2) ising model (1) density estimation (1) covariance estimation (1) convex optimization (1) learning theory (1) mean estimation (1) discrete optimization (1)

Papers

Statistical Query Lower Bounds for List-Decodable Linear Regression NIPS 2021
Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021
Sever: A Robust Meta-Algorithm for Stochastic Optimization ICML 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NIPS 2019
Robust Learning of Fixed-Structure Bayesian Networks NIPS 2018
Testing for Families of Distributions via the Fourier Transform NIPS 2018
Sharp Bounds for Generalized Uniformity Testing NIPS 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities COLT 2018
Learning Multivariate Log-concave Distributions COLT 2017
Being Robust (in High Dimensions) Can Be Practical ICML 2017
Testing Bayesian Networks COLT 2017