Khashayar Khosravi
TitleCited byYear
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
Matrix completion methods for causal panel data models
S Athey, M Bayati, N Doudchenko, G Imbens, K Khosravi
National Bureau of Economic Research, 2018
Mostly exploration-free algorithms for contextual bandits
H Bastani, M Bayati, K Khosravi
arXiv preprint arXiv:1704.09011, 2017
Multiclass classification, information, divergence and surrogate risk
J Duchi, K Khosravi, F Ruan
The Annals of Statistics 46 (6B), 3246-3275, 2018
Steganographic schemes with multiple q-ary changes per block of pixels
I Gholampour, K Khosravi
Signal Processing 108, 206-219, 2015
Interpolation of steganographic schemes
I Gholampour, K Khosravi
Signal Processing 98, 23-36, 2014
Improved Learning through Augmenting the Loss
H Inan, K Khosravi
Stanford CS 224D: Deep Learning for Natural Language Processing, Spring 2016, 2016
Performance-Based Digital Content Delivery in a Digital Medium Environment
K Modarresi, K Khosravi
US Patent App. 15/667,558, 2019
Non-Parametric Inference Adaptive to Intrinsic Dimension
K Khosravi, G Lewis, V Syrgkanis
arXiv preprint arXiv:1901.03719, 2019
Optimal detection of the best offer in a campaign
K Modarresi, K Khosravi
US Patent App. 15/348,865, 2018
Finding the Winner of a Hypothesis Test via Sample Allocation Optimization
K Modarresi, K Khosravi
Procedia Computer Science 108, 1040-1049, 2017
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Articles 1–11