Mehta, Aranyak

7 publications

ICLR 2025 Linear Transformer Topological Masking with Graph Random Features Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski

NeurIPSW 2024 Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Avinava Dubey, Alexandre Rame, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Leonard Hussenot, Olivier Bachem, Edouard Leurent

ICLRW 2022 Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training Goran Zuzic, Di Wang, Aranyak Mehta, D. Sivakumar

NeurIPS 2022 Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions Gagan Aggarwal, Kshipra Bhawalkar, Aranyak Mehta, Divyarthi Mohan, Alexandros Psomas

AAAI 2021 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi

NeurIPS 2020 Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics Aranyak Mehta, Uri Nadav, Alexandros Psomas, Aviad Rubinstein

ICLR 2019 A New Dog Learns Old Tricks: RL Finds Classic Optimization Algorithms Weiwei Kong, Christopher Liaw, Aranyak Mehta, D. Sivakumar