176 citations · 184 across the 6 of their papers we have counts for
8 papers
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
Khashayar Khosravi, Renato Paes Leme, Chara Podimata +1
We propose a model for learning with bandit feedback while accounting for deterministically evolving and unobservable states that we call Bandits with Deterministically Evolving St…
From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics
ChunJun Cao
In this note, I review a recent approach to quantum gravity that "gravitizes" quantum mechanics by emerging geometry and gravity from complex quantum states. Drawing further insigh…
Batched Neural Bandits
Quanquan Gu, Amin Karbasi, Khashayar Khosravi +2
In many sequential decision-making problems, the individuals are split into several batches and the decision-maker is only allowed to change her policy at the end of batches. These…
The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
Mohsen Bayati, Nima Hamidi, Ramesh Johari +1
We investigate a Bayesian -armed bandit problem in the \emph{many-armed} regime, where and represents the time horizon. Initially, and aligned with recent…
Non-Parametric Inference Adaptive to Intrinsic Dimension
Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis
We consider non-parametric estimation and inference of conditional moment models in high dimensions. We show that even when the dimension of the conditioning variable is larger…
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
The contextual bandit literature has traditionally focused on algorithms that address the exploration-exploitation tradeoff. In particular, greedy algorithms that exploit current e…
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan, Khashayar Khosravi, Richard Socher
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 clas…
Multiclass Classification, Information, Divergence, and Surrogate Risk
John C. Duchi, Khashayar Khosravi, Feng Ruan
We provide a unifying view of statistical information measures, multi-way Bayesian hypothesis testing, loss functions for multi-class classification problems, and multi-distributio…