Tavor Baharav
Tavor Baharav
Graduate Student, Stanford University
Dirección de correo verificada de stanford.edu - Página principal
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Año
Straggler-proofing massive-scale distributed matrix multiplication with d-dimensional product codes
T Baharav, K Lee, O Ocal, K Ramchandran
2018 IEEE International Symposium on Information Theory (ISIT), 1993-1997, 2018
492018
Ultra Fast Medoid Identification via Correlated Sequential Halving
T Baharav, D Tse
Advances in Neural Information Processing Systems, 3655-3664, 2019
92019
In Situ Height and Width Estimation of Sorghum Plants from 2.5 d Infrared Images
T Baharav, M Bariya, A Zakhor
Electronic Imaging 2017 (17), 122-135, 2017
92017
My fair bandit: Distributed learning of max-min fairness with multi-player bandits
I Bistritz, T Baharav, A Leshem, N Bambos
International Conference on Machine Learning, 930-940, 2020
52020
Spectral Jaccard Similarity: A new approach to estimating pairwise sequence alignments
TZ Baharav, GM Kamath, NT David, I Shomorony
Patterns 1 (6), 100081, 2020
32020
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
G Kamath, T Baharav, I Shomorony
Advances in Neural Information Processing Systems 33, 2020
22020
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
TZ Baharav, DL Jiang, K Kolluri, S Sanghavi, IS Dhillon
arXiv preprint arXiv:2106.00730, 2021
2021
Bandit-Based Monte Carlo Optimization for Nearest Neighbors
V Bagaria, TZ Baharav, GM Kamath, NT David
IEEE Journal on Selected Areas in Information Theory, 2021
2021
One for All and All for One: Distributed Learning of Fair Allocations with Multi-player Bandits
I Bistritz, TZ Baharav, A Leshem, N Bambos
IEEE Journal on Selected Areas in Information Theory, 2021
2021
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