Galen Andrew - RankMe

27 papers A* 8A 2B 1Misc 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JAX-Privacy: A library for differentially private machine learning. CoRR Ryan McKenna, Galen Andrew, Borja Balle, Vadym Doroshenko, Arun Ganesh, Weiwei Kong, Alex Kurakin, Brendan McMahan, Mikhail Pravilov
2025	J	`jnl`	How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy. CoRR Natalia Ponomareva, Zheng Xu, H. Brendan McMahan, Peter Kairouz, Lucas Rosenblatt, Vincent Cohen-Addad, Cristóbal Guzmán, Ryan McKenna, Galen Andrew, Alex Bie, Da Yu, Alex Kurakin, Morteza Zadimoghaddam, Sergei Vassilvitskii, Andreas Terzis
2024	A*	`conf`	One-shot Empirical Privacy Estimation for Federated Learning. ICLR Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar
2023	—	`conf`	Federated Learning of Gboard Language Models with Differential Privacy. ACL (industry) Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang
2023	J	`jnl`	Federated Learning of Gboard Language Models with Differential Privacy. CoRR Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang
2023	J	`jnl`	One-shot Empirical Privacy Estimation for Federated Learning. CoRR Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, H. Brendan McMahan, Vinith M. Suriyakumar
2023	A*	`conf`	Unleashing the Power of Randomization in Auditing Differentially Private ML. NeurIPS Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
2023	J	`jnl`	Unleashing the Power of Randomization in Auditing Differentially Private ML. CoRR Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh
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	A*	`conf`	Differentially Private Learning with Adaptive Clipping. NeurIPS Galen Andrew, Om Thakkar, Brendan McMahan, Swaroop Ramaswamy
2020	J	`jnl`	Training Production Language Models without Memorizing User Data. CoRR Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays
2019	J	`jnl`	Differentially Private Learning with Adaptive Clipping. CoRR Om Thakkar, Galen Andrew, H. Brendan McMahan
2018	J	`jnl`	A General Approach to Adding Differential Privacy to Iterative Training Procedures. CoRR H. Brendan McMahan, Galen Andrew
2018	J	`jnl`	Applied Federated Learning: Improving Google Keyboard Query Suggestions. CoRR Timothy Yang, Galen Andrew, Hubert Eichner, Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Françoise Beaufays
2016	—	`—`	New Techniques in Deep Representation Learning. Galen Andrew
2015	—	`conf`	Interactive Control of Diverse Complex Characters with Neural Networks. NIPS Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov
2013	—	`conf`	Deep Canonical Correlation Analysis. ICML (3) Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu
2012	A	`conf`	Memory-efficient inference in dynamic graphical models using multiple cores. AISTATS Galen Andrew, Jeff A. Bilmes
2012	Misc	`conf`	Sequential Deep Belief Networks. ICASSP Galen Andrew, Jeff A. Bilmes
2007	A*	`conf`	A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. ACL Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina Toutanova
2007	A*	`conf`	Scalable training of L ICML Galen Andrew, Jianfeng Gao
2006	A*	`conf`	A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation. EMNLP Galen Andrew
2006	B	`conf`	Tregex and Tsurgeon: tools for querying and manipulating tree data structures. LREC Roger Levy, Galen Andrew
2005	—	`conf`	A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005. SIGHAN@IJCNLP 2005 Huihsin Tseng, Pi-Chuan Chang, Galen Andrew, Daniel Jurafsky, Christopher D. Manning
2004	A*	`conf`	Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Task. EMNLP Galen Andrew, Trond Grenager, Christopher D. Manning
2003	A*	`conf`	A Portfolio Approach to Algorithm Selection. IJCAI Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham
2003	A	`conf`	Boosting as a Metaphor for Algorithm Design. CP Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham