Tavor Z. Baharav

21 papers A* 5A 2B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration. CoRR Tavor Z. Baharav, Phillip B. Nicol, Rafael A. Irizarry, Rong Ma
2025	J	`jnl`	The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification. CoRR Tavor Z. Baharav, Spyros Dragazis, Aldo Pacchiano
2024	A*	`conf`	Adaptive Sampling for Efficient Softmax Approximation. NeurIPS Tavor Z. Baharav, Ryan Kang, Colin Sullivan, Mo Tiwari, Eric Luxenberg, David Tse, Mert Pilanci
2023	J	`jnl`	Adaptive Data Depth via Multi-Armed Bandits. J. Mach. Learn. Res. Tavor Z. Baharav, Tze Leung Lai
2022	J	`jnl`	Adaptive Data Depth via Multi-Armed Bandits. CoRR Tavor Z. Baharav, Tze Leung Lai
2022	A	`conf`	Approximate Function Evaluation via Multi-Armed Bandits. AISTATS Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse
2022	J	`jnl`	Approximate Function Evaluation via Multi-Armed Bandits. CoRR Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse
2022	A*	`conf`	Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	J	`jnl`	Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2021	J	`jnl`	Bandit-Based Monte Carlo Optimization for Nearest Neighbors. IEEE J. Sel. Areas Inf. Theory Vivek Kumar Bagaria, Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse
2021	A	`conf`	Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. CIKM Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon
2021	J	`jnl`	Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. CoRR Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon
2021	J	`jnl`	One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits. IEEE J. Sel. Areas Inf. Theory Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos
2020	A*	`conf`	Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment. NeurIPS Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony
2020	J	`jnl`	Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment. CoRR Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony
2020	A*	`conf`	My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. ICML Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos
2020	J	`jnl`	My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. CoRR Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos
2020	B	`conf`	Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments. RECOMB Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse, Ilan Shomorony
2020	J	`jnl`	Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments. Patterns Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse, Ilan Shomorony
2019	A*	`conf`	Ultra Fast Medoid Identification via Correlated Sequential Halving. NeurIPS Tavor Z. Baharav, David Tse
2019	J	`jnl`	Ultra Fast Medoid Identification via Correlated Sequential Halving. CoRR Tavor Z. Baharav, David N. C. Tse