| 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 | 80 | 2018 |
| 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 | 39 | 2020 |
| Ultra Fast Medoid Identification via Correlated Sequential Halving T Baharav, D Tse Advances in Neural Information Processing Systems, 3655-3664, 2019 | 29 | 2019 |
| Spectral Jaccard Similarity: A new approach to estimating pairwise sequence alignments TZ Baharav, GM Kamath, NT David, I Shomorony Patterns 1 (6), 2020 | 27 | 2020 |
| 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 | 20 | 2017 |
| 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 | 17 | 2021 |
| SPLASH: a statistical, reference-free genomic algorithm unifies biological discovery K Chaung, TZ Baharav, G Henderson, IN Zheludev, PL Wang, J Salzman Cell 186 (25), 5440-5456. e26, 2023 | 12* | 2023 |
| Bandit-Based Monte Carlo Optimization for Nearest Neighbors V Bagaria, TZ Baharav, GM Kamath, NT David IEEE Journal on Selected Areas in Information Theory 2 (2), 599-610, 2021 | 12 | 2021 |
| Unsupervised reference-free inference reveals unrecognized regulated transcriptomic complexity in human single cells R Dehghannasiri, G Henderson, R Bierman, K Chaung, TZ Baharav, ... bioRxiv, 2022.12. 06.519414, 2022 | 11 | 2022 |
| 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 | 10 | 2020 |
| Scalable and unsupervised discovery from raw sequencing reads using SPLASH2 M Kokot, R Dehghannasiri, T Baharav, J Salzman, S Deorowicz Nature Biotechnology, 1-7, 2024 | 9* | 2024 |
| OASIS: An interpretable, finite-sample valid alternative to Pearson's X2 for scientific discovery. TZ Baharav, D Tse, J Salzman Biorxiv: the Preprint Server for Biology, 2023 | 8 | 2023 |
| Approximate Function Evaluation via Multi-Armed Bandits TZ Baharav, G Cheng, M Pilanci, D Tse International Conference on Artificial Intelligence and Statistics, 108-135, 2022 | 7 | 2022 |
| Enabling efficiency-precision trade-offs for label trees in extreme classification TZ Baharav, DL Jiang, K Kolluri, S Sanghavi, IS Dhillon Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits Y Wang, T Baharav, Y Han, J Jiao, D Tse Advances in Neural Information Processing Systems 35, 9262-9273, 2022 | 5 | 2022 |
| Ultra-efficient, unified discovery from microbial sequencing with SPLASH and precise statistical assembly G Henderson, A Gudys, T Baharav, P Sundaramurthy, M Kokot, PL Wang, ... bioRxiv, 2024.01. 18.576133, 2024 | 3 | 2024 |
| Adaptive Data Depth via Multi-Armed Bandits T Baharav, TL Lai Journal of Machine Learning Research 24 (155), 1-29, 2023 | 2 | 2023 |
| Adaptive Sampling for Efficient Softmax Approximation T Baharav, R Kang, C Sullivan, M Tiwari, ES Luxenberg, D Tse, M Pilanci The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
David TseThomas Kailath and Guanghan Xu Professor, Stanford UniversityVerified email at stanford.edu
