Andrew Hard - RankMe

15 papers A* 1A 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	We Are What We Repeatedly Do: Improving Long Context Instruction Following. EACL (Findings) Preston K. Robinette, Andrew Hard, Swaroop Ramaswamy, Ehsan Amid, Rajiv Mathews, Taylor T. Johnson
2025	J	`jnl`	Eliciting Behaviors in Multi-Turn Conversations. CoRR Jing Huang, Shujian Zhang, Lun Wang, Andrew Hard, Rajiv Mathews, John Lambert
2025	J	`jnl`	Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process. CoRR Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang
2025	J	`jnl`	MUSIC: MUlti-Step Instruction Contrast for Multi-Turn Reward Models. CoRR Wenzhe Li, Shujian Zhang, Wenxuan Zhou, John Lambert, Chi Jin, Andrew Hard, Rajiv Mathews, Lun Wang
2025	J	`jnl`	Principled Foundations for Preference Optimization. CoRR Wenxuan Zhou, Shujian Zhang, Brice Magdalou, John Lambert, Ehsan Amid, Richard Nock, Andrew Hard
2024	J	`jnl`	Learning from straggler clients in federated learning. CoRR Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean Augenstein, Lara McConnaughey, Rajiv Mathews, Rohan Anil
2022	A*	`conf`	Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. ICLR Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecný, Andrew Hard, Tom Goldstein
2022	J	`jnl`	Mixed Federated Learning: Joint Decentralized and Centralized Learning. CoRR Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews
2022	A	`conf`	Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. INTERSPEECH Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays
2022	J	`jnl`	Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. CoRR Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	J	`jnl`	Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift. CoRR Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews
2020	A	`conf`	Training Keyword Spotting Models on Non-IID Data with Federated Learning. INTERSPEECH Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews
2020	J	`jnl`	Training Keyword Spotting Models on Non-IID Data with Federated Learning. CoRR Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews
2018	J	`jnl`	Federated Learning for Mobile Keyboard Prediction. CoRR Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage