Galen Andrew

According to our database, Galen Andrew authored at least 22 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

One-shot Empirical Privacy Estimation for Federated Learning.

Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, H. Brendan McMahan, Vinith Suriyakumar

CoRR, 2023

Unleashing the Power of Randomization in Auditing Differentially Private ML.

Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Learning of Gboard Language Models with Differential Privacy.

Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2021

A Field Guide to Federated Optimization.

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

CoRR, 2021

Differentially Private Learning with Adaptive Clipping.

Galen Andrew, Om Thakkar, Brendan McMahan, Swaroop Ramaswamy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Training Production Language Models without Memorizing User Data.

Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays

CoRR, 2020

2019

Differentially Private Learning with Adaptive Clipping.

Om Thakkar, Galen Andrew, H. Brendan McMahan

CoRR, 2019

2018

A General Approach to Adding Differential Privacy to Iterative Training Procedures.

H. Brendan McMahan, Galen Andrew

CoRR, 2018

Applied Federated Learning: Improving Google Keyboard Query Suggestions.

Timothy Yang, Galen Andrew, Hubert Eichner, Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Françoise Beaufays

CoRR, 2018

2016

New Techniques in Deep Representation Learning.

Galen Andrew

PhD thesis, 2016

2015

Interactive Control of Diverse Complex Characters with Neural Networks.

Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Deep Canonical Correlation Analysis.

Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Memory-efficient inference in dynamic graphical models using multiple cores.

Galen Andrew, Jeff A. Bilmes

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sequential Deep Belief Networks.

Galen Andrew, Jeff A. Bilmes

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2007

Scalable training of L¹-regularized log-linear models.

Galen Andrew, Jianfeng Gao

Proceedings of the Machine Learning, 2007

A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing.

Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina Toutanova

Proceedings of the ACL 2007, 2007

2006

Tregex and Tsurgeon: tools for querying and manipulating tree data structures.

Roger Levy, Galen Andrew

Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation.

Galen Andrew

Proceedings of the EMNLP 2006, 2006

2005

A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005.

Huihsin Tseng, Pi-Chuan Chang, Galen Andrew, Daniel Jurafsky, Christopher D. Manning

Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing, 2005

2004

Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Task.

Galen Andrew, Trond Grenager, Christopher D. Manning

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

2003

A Portfolio Approach to Algorithm Selection.

Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham

Proceedings of the IJCAI-03, 2003

Boosting as a Metaphor for Algorithm Design.

Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham

Proceedings of the Principles and Practice of Constraint Programming, 2003