Khashayar Khosravi — accepted AI-conference papers

2021

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls

Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sebastien Lahaie, Miles Lubin, Vahab Mirrokni +2

NeurIPS 2021poster

We investigate the optimal design of experimental studies that have pre-treatment outcome data available. The average treatment effect is estimated as the difference between the weighted average outcomes of the treated and control units. A number of commonly used approaches fit this formulation, in…

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2020

Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms

Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi

NeurIPS 2020spotlight

We study the structure of regret-minimizing policies in the {\em many-armed} Bayesian multi-armed bandit problem: in particular, with $k$ the number of arms and $T$ the time horizon, we consider the case where $k \geq \sqrt{T}$. We first show that {\em subsampling} is a critical step for designing o…

Cited by 41 Source ↗PDF ↗code ↗Scholar ↗

2017

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Hakan Inan, Khashayar Khosravi, Richard Socher

ICLR 2017poster

Recurrent neural networks have been very successful at predicting sequences of words in tasks such as language modeling. However, all such models are based on the conventional classification framework, where the model is trained against one-hot targets, and each word is represented both as an input…

Cited by 448 Source ↗Scholar ↗