Tavor Z. Baharav

According to our database, Tavor Z. Baharav authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification.

Tavor Z. Baharav, Spyros Dragazis, Aldo Pacchiano

CoRR, October, 2025

Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration.

Tavor Z. Baharav, Phillip B. Nicol, Rafael A. Irizarry, Rong Ma

CoRR, July, 2025

2024

Adaptive Sampling for Efficient Softmax Approximation.

Tavor Z. Baharav, Ryan Kang, Colin Sullivan, Mo Tiwari, Eric Luxenberg, David Tse, Mert Pilanci

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Adaptive Data Depth via Multi-Armed Bandits.

Tavor Z. Baharav, Tze Leung Lai

J. Mach. Learn. Res., 2023

2022

Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits.

Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse

CoRR, 2022

Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits.

Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Approximate Function Evaluation via Multi-Armed Bandits.

Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits.

Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos

IEEE J. Sel. Areas Inf. Theory, 2021

Bandit-Based Monte Carlo Optimization for Nearest Neighbors.

Vivek Kumar Bagaria, Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse

IEEE J. Sel. Areas Inf. Theory, 2021

Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification.

Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments.

Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse, Ilan Shomorony

Proceedings of the Research in Computational Molecular Biology, 2020

Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment.

Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits.

Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Ultra Fast Medoid Identification via Correlated Sequential Halving.

Tavor Z. Baharav, David Tse

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019