| 2026 | CRYPTO | On Reed-Solomon Proximity Gaps Conjectures. | Elizabeth C. Crites, Alistair Stewart |
| 2025 | ACNS | Sassafras: Efficient Batch Single Leader Election. | Jeffrey Burdges, Elizabeth C. Crites, Handan Kilin Alper, Alistair Stewart, Sergey Vasilyev |
| 2025 | AFT | Trustless Bridges via Random Sampling Light Clients. | Bhargav Nagaraja Bhatt, Fatemeh Shirazi, Alistair Stewart |
| 2025 | CRYPTO | A Plausible Attack on the Adaptive Security of Threshold Schnorr Signatures. | Elizabeth C. Crites, Alistair Stewart |
| 2024 | EuroCrypt | Unbiasable Verifiable Random Functions. | Emanuele Giunta, Alistair Stewart |
| 2021 | AFT | A verifiably secure and proportional committee election rule. | Alfonso Cevallos, Alistair Stewart |
| 2021 | COLT | Outlier-Robust Learning of Ising Models Under Dobrushin's Condition. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun |
| 2019 | CCS | Poster: GRANDPA Finality Gadget. | Alistair Stewart |
| 2019 | ICALP | Reachability for Branching Concurrent Stochastic Games. | Kousha Etessami, Emanuel Martinov, Alistair Stewart, Mihalis Yannakakis |
| 2019 | ICML | Sever: A Robust Meta-Algorithm for Stochastic Optimization. | Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart |
| 2019 | SODA | Efficient Algorithms and Lower Bounds for Robust Linear Regression. | Ilias Diakonikolas, Weihao Kong, Alistair Stewart |
| 2018 | COLT | Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities. | Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart |
| 2018 | ITA | Testing Conditional Independence of Discrete Distributions. | Clment L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2018 | SODA | Robustly Learning a Gaussian: Getting Optimal Error, Efficiently. | Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart |
| 2018 | STOC | Testing conditional independence of discrete distributions. | Clment L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2018 | STOC | List-decodable robust mean estimation and learning mixtures of spherical gaussians. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2018 | STOC | Learning geometric concepts with nasty noise. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2017 | COLT | Testing Bayesian Networks. | Clment L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2017 | COLT | Learning Multivariate Log-concave Distributions. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2017 | FOCS | Statistical Query Lower Bounds for Robust Estimation of High-Dimensional Gaussians and Gaussian Mixtures. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2017 | ICML | Being Robust (in High Dimensions) Can Be Practical. | Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart |
| 2017 | SODA | Playing Anonymous Games using Simple Strategies. | Yu Cheng, Ilias Diakonikolas, Alistair Stewart |
| 2016 | COLT | Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2016 | COLT | Properly Learning Poisson Binomial Distributions in Almost Polynomial Time. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2016 | FOCS | Robust Estimators in High Dimensions without the Computational Intractability. | Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart |
| 2016 | STOC | The fourier transform of poisson multinomial distributions and its algorithmic applications. | Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2015 | ICALP | Greatest Fixed Points of Probabilistic Min/Max Polynomial Equations, and Reachability for Branching Markov Decision Processes. | Kousha Etessami, Alistair Stewart, Mihalis Yannakakis |
| 2013 | CAV | Upper Bounds for Newton's Method on Monotone Polynomial Systems, and P-Time Model Checking of Probabilistic One-Counter Automata. | Alistair Stewart, Kousha Etessami, Mihalis Yannakakis |
| 2013 | ICALP | Stochastic Context-Free Grammars, Regular Languages, and Newton's Method. | Kousha Etessami, Alistair Stewart, Mihalis Yannakakis |
| 2012 | ICALP | Polynomial Time Algorithms for Branching Markov Decision Processes and Probabilistic Min(Max) Polynomial Bellman Equations. | Kousha Etessami, Alistair Stewart, Mihalis Yannakakis |
| 2012 | STOC | Polynomial time algorithms for multi-type branching processesand stochastic context-free grammars. | Kousha Etessami, Alistair Stewart, Mihalis Yannakakis |