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2020 – today
- 2024
[c8]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS 2024: 3862-3870- [c7]Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR 2024 - [i10]Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR abs/2401.12253 (2024) - [i9]Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR abs/2403.05054 (2024) - [i8]Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian:
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework. CoRR abs/2410.08316 (2024) - 2023
- [c6]Yuta Kurokawa, Ryotaro Mitsuboshi, Haruki Hamasaki
, Kohei Hatano, Eiji Takimoto, Holakou Rahmanian:
Extended Formulations via Decision Diagrams. COCOON (2) 2023: 17-28 - [i7]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR abs/2311.13159 (2023) - 2022
- [c5]Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan:
Toward Understanding Privileged Features Distillation in Learning-to-Rank. NeurIPS 2022 - [i6]Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan:
Toward Understanding Privileged Features Distillation in Learning-to-Rank. CoRR abs/2209.08754 (2022) - [i5]Yuta Kurokawa, Ryotaro Mitsuboshi, Haruki Hamasaki, Kohei Hatano, Eiji Takimoto, Holakou Rahmanian:
Extended Formulations via Decision Diagrams. CoRR abs/2211.06065 (2022)
2010 – 2019
- 2019
- [c4]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth:
Online Non-Additive Path Learning under Full and Partial Information. ALT 2019: 274-299 - 2018
- [b1]Holakou Rahmanian:
Online Learning of Combinatorial Objects. University of California, Santa Cruz, USA, 2018 - [c3]Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan:
Online Learning of Combinatorial Objects via Extended Formulation. ALT 2018: 702-724 - [i4]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth:
Online Non-Additive Path Learning under Full and Partial Information. CoRR abs/1804.06518 (2018) - 2017
- [c2]Jie Zhu, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, Yi Zhang:
Deep Embedding Forest: Forest-based Serving with Deep Embedding Features. KDD 2017: 1703-1711 - [c1]Holakou Rahmanian, Manfred K. Warmuth:
Online Dynamic Programming. NIPS 2017: 2827-2837 - [i3]Jie Zhu, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, Yi Zhang:
Deep Embedding Forest: Forest-based Serving with Deep Embedding Features. CoRR abs/1703.05291 (2017) - [i2]Holakou Rahmanian, S. V. N. Vishwanathan, Manfred K. Warmuth:
Online Dynamic Programming. CoRR abs/1706.00834 (2017) - 2016
- [i1]Holakou Rahmanian, S. V. N. Vishwanathan, David P. Helmbold:
Extended Formulation for Online Learning of Combinatorial Objects. CoRR abs/1609.05374 (2016)
Coauthor Index
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