| 2023 | ICML | Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. | Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian |
| 2022 | AISTATS | Sobolev Norm Learning Rates for Conditional Mean Embeddings. | Prem Talwai, Ali Shameli, David Simchi-Levi |
| 2021 | SAGT | Cost Sharing in Two-Sided Markets. | Sreenivas Gollapudi, Kostas Kollias, Ali Shameli |
| 2019 | AISTATS | Sample Efficient Graph-Based Optimization with Noisy Observations. | Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton |
| 2019 | EC | Nearly Optimal Pricing Algorithms for Production Constrained and Laminar Bayesian Selection. | Nima Anari, Rad Niazadeh, Amin Saberi, Ali Shameli |
| 2019 | SODA | Assignment Mechanisms under Distributional Constraints. | Itai Ashlagi, Amin Saberi, Ali Shameli |
| 2017 | WWW | How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. | Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec |