Holakou Rahmanian

22 papers A* 3A 2B 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An efficient algorithm for entropic optimal transport under martingale-type constraints. CoRR Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Tesi Xiao, Lexing Ying
2025	A	`conf`	COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework. UAI Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2025	J	`jnl`	Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation. CoRR Neeraj Gangwar, Anshuka Rangi, Rishabh Deshmukh, Holakou Rahmanian, Yesh Dattatreya, Nickvash Kani
2024	J	`jnl`	A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024	J	`jnl`	Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024	A*	`conf`	Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024	J	`jnl`	HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework. CoRR Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2024	A	`conf`	Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2023	—	`conf`	Extended Formulations via Decision Diagrams. COCOON (2) Yuta Kurokawa, Ryotaro Mitsuboshi, Haruki Hamasaki, Kohei Hatano, Eiji Takimoto, Holakou Rahmanian
2023	J	`jnl`	Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2022	J	`jnl`	Extended Formulations via Decision Diagrams. CoRR Yuta Kurokawa, Ryotaro Mitsuboshi, Haruki Hamasaki, Kohei Hatano, Eiji Takimoto, Holakou Rahmanian
2022	A*	`conf`	Toward Understanding Privileged Features Distillation in Learning-to-Rank. NeurIPS Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan
2022	J	`jnl`	Toward Understanding Privileged Features Distillation in Learning-to-Rank. CoRR Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan
2019	B	`conf`	Online Non-Additive Path Learning under Full and Partial Information. ALT Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2018	B	`conf`	Online Learning of Combinatorial Objects via Extended Formulation. ALT Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan
2018	—	`—`	Online Learning of Combinatorial Objects. Holakou Rahmanian
2018	J	`jnl`	Online Non-Additive Path Learning under Full and Partial Information. CoRR Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2017	A*	`conf`	Deep Embedding Forest: Forest-based Serving with Deep Embedding Features. KDD Jie Zhu, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, Yi Zhang
2017	J	`jnl`	Deep Embedding Forest: Forest-based Serving with Deep Embedding Features. CoRR Jie Zhu, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, Yi Zhang
2017	—	`conf`	Online Dynamic Programming. NIPS Holakou Rahmanian, Manfred K. Warmuth
2017	J	`jnl`	Online Dynamic Programming. CoRR Holakou Rahmanian, S. V. N. Vishwanathan, Manfred K. Warmuth
2016	J	`jnl`	Extended Formulation for Online Learning of Combinatorial Objects. CoRR Holakou Rahmanian, S. V. N. Vishwanathan, David P. Helmbold