Publication List

Contextual Pandora’s Box
AA, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos
AAAI Conference on Artificial Intelligence (AAAI) 2024

Finite-Time Logarithmic Bayes Regret Upper Bounds
AA, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
Conference on Neural Information Processing Systems (NeurIPS) 2023

Asymptotically-Optimal Gaussian Bandits with Side Observations
AA, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai
International Conference of Machine Learning (ICML) 2022

Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent
Tongzheng Ren, Fuheng Cui, AA, Sujay Sanghavi, Nhat Ho
Artificial Intelligence and Statistics (AISTATS) 2022

Combinatorial Blocking Bandits with Stochastic Delays
AA, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai
International Conference of Machine Learning (ICML) 2021

Parallel Model Exploration for Tumor Treatment Simulations
Charilaos Akasiadis, Miguel Ponce-de-Leon, Arnau Montagud, Evangelos Michelioudakis, AA, Elias Alevizos, Alexander Artikis, Alfonso Valencia, Georgios Paliouras
Computational Intelligence Journal 2021

Bayesian Fixed-Budget Best-Arm Identification
AA, Sumeet Katariya, Sujay Sanghavi, Branislav Kveton
(pre-print) 2024

Finite-Time Logarithmic Bayes Regret for Thompson Sampling
AA, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
(working paper)