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Khashayar Khosravi
Khashayar Khosravi
Quantitative Researcher
Geverifieerd e-mailadres voor stanford.edu - Homepage
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Matrix completion methods for causal panel data models
S Athey, M Bayati, N Doudchenko, G Imbens, K Khosravi
Journal of the American Statistical Association 116 (536), 1716-1730, 2021
6442021
Tying word vectors and word classifiers: A loss framework for language modeling
H Inan, K Khosravi, R Socher
International Conference on Learning Representations (ICLR), 2017
4212017
Mostly exploration-free algorithms for contextual bandits
H Bastani, M Bayati, K Khosravi
Management Science 67 (3), 1329-1349, 2021
212*2021
Multiclass classification, information, divergence and surrogate risk
J Duchi, K Khosravi, F Ruan
The Annals of Statistics 46 (6B), 3246-3275, 2018
482018
The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
M Bayati, N Hamidi, R Johari, K Khosravi
Advances in Neural Information Processing Systems 33, 2020
292020
Batched neural bandits
Q Gu, A Karbasi, K Khosravi, V Mirrokni, D Zhou
ACM/IMS Journal of Data Science 1 (1), 1-18, 2024
192024
Synthetic design: An optimization approach to experimental design with synthetic controls
N Doudchenko, K Khosravi, J Pouget-Abadie, S Lahaie, M Lubin, ...
Advances in Neural Information Processing Systems 34, 8691-8701, 2021
142021
Non-parametric inference adaptive to intrinsic dimension
K Khosravi, G Lewis, V Syrgkanis
arXiv preprint arXiv:1901.03719, 2019
112019
Improved learning through augmenting the loss
H Inan, K Khosravi
stanford. edu, 2016
52016
Steganographic schemes with multiple q-ary changes per block of pixels
I Gholampour, K Khosravi
Signal Processing 108, 206-219, 2015
42015
Interpolation of steganographic schemes
I Gholampour, K Khosravi
Signal processing 98, 23-36, 2014
42014
Bandits with Deterministically Evolving States
K Khosravi, RP Leme, C Podimata, A Tsorvantzis
arXiv preprint arXiv:2307.11655, 2023
12023
Performance-Based Digital Content Delivery in a Digital Medium Environment
K Modarresi, K Khosravi
US Patent App. 15/667,558, 2019
2019
Learning, Decision-making, and Inference with Limited Experimentation
K Khosravi
Stanford University, 2019
2019
Optimal detection of the best offer in a campaign
K Modarresi, K Khosravi
US Patent App. 15/348,865, 2018
2018
Finding the Winner of a Hypothesis Test via Sample Allocation Optimization
K Modarresi, K Khosravi
Procedia Computer Science 108, 1040-1049, 2017
2017
SUPPLEMENTARY MATERIAL: INFORMATION, EXPERIMENTS, MULTI-CATEGORY HYPOTHESIS TESTS, AND SURROGATE LOSSES FOR MULTICLASS CLASSIFICATION
J Duchi, K Khosravi, F Ruan
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Artikelen 1–17