Mehrabian, Abbas

9 publications

IJCAI 2024 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner

NeurIPSW 2023 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Tudor Berariu, Matej Balog, Gheorghe Comanici, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera Paredes, Laurent Orseau, Petar Veličković, Anurag Murty Naredla, Joonkyung Lee, Adam Zsolt Wagner, Doina Precup

AAAI 2021 Regret Bounds for Batched Bandits Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab S. Mirrokni

AISTATS 2020 A Practical Algorithm for Multiplayer Bandits When Arm Means Vary Among Players Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet

AISTATS 2020 Old Dog Learns New Tricks: Randomized UCB for Bandit Problems Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton

JMLR 2019 Nearly-Tight VC-Dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks Peter L. Bartlett, Nick Harvey, Christopher Liaw, Abbas Mehrabian

NeurIPS 2018 Nearly Tight Sample Complexity Bounds for Learning Mixtures of Gaussians via Sample Compression Schemes Hassan Ashtiani, Shai Ben-David, Nicholas Harvey, Christopher Liaw, Abbas Mehrabian, Yaniv Plan

AAAI 2018 Sample-Efficient Learning of Mixtures Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian

COLT 2017 Nearly-Tight VC-Dimension Bounds for Piecewise Linear Neural Networks Nick Harvey, Christopher Liaw, Abbas Mehrabian