Interpolation of steganographic schemes. - Iman Gholampour; Khashayar Khosravi (Signal Process., 2014)

Steganographic schemes with multiple q-ary changes per block of pixels. - Iman Gholampour; Khashayar Khosravi (Signal Process., 2015)

Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses. - John C. Duchi; Khashayar Khosravi; Feng Ruan (CoRR, 2016)

Finding the Winner of a Hypothesis Test via Sample Allocation Optimization. - Kourosh Modarresi; Khashayar Khosravi (ICCS, 2017)

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. - Hakan Inan; Khashayar Khosravi; Richard Socher (ICLR (Poster), 2017)

Exploiting the Natural Exploration In Contextual Bandits. - Hamsa Bastani; Mohsen Bayati; Khashayar Khosravi (CoRR, 2017)

Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms. - Mohsen Bayati; Nima Hamidi; Ramesh Johari; Khashayar Khosravi (NeurIPS, 2020)

Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms. - Mohsen Bayati; Nima Hamidi; Ramesh Johari; Khashayar Khosravi (CoRR, 2020)

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls. - Nick Doudchenko; Khashayar Khosravi; Jean Pouget-Abadie; Sébastien Lahaie; Miles Lubin; Vahab S. Mirrokni; Jann Spiess; Guido Imbens (NeurIPS, 2021)

Batched Neural Bandits. - Quanquan Gu; Amin Karbasi; Khashayar Khosravi; Vahab S. Mirrokni; Dongruo Zhou (CoRR, 2021)

Mostly Exploration-Free Algorithms for Contextual Bandits. - Hamsa Bastani; Mohsen Bayati; Khashayar Khosravi (Manag. Sci., 2021)

Non-parametric Inference Adaptive to Intrinsic Dimension. - Khashayar Khosravi; Greg Lewis; Vasilis Syrgkanis (CLeaR, 2022)

Bandits with Deterministically Evolving States. - Khashayar Khosravi; Renato Paes Leme; Chara Podimata; Apostolis Tsorvantzis (CoRR, 2023)

Preferences Evolve and so Should Your Bandits: Bandits with Evolving States for Online Platforms. - Khashayar Khosravi; Renato Paes Leme; Chara Podimata; Apostolis Tsorvantzis (EC, 2024)