Ameet Talwalkar

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Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesVerified email at google.com
Virginia SmithCarnegie Mellon UniversityVerified email at cmu.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Afshin RostamizadehGoogle ResearchVerified email at google.com
Liam LiCarnegie Mellon UniversityVerified email at liamcli.com
Kevin JamiesonAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Tian LiCarnegie Mellon UniversityVerified email at cmu.edu
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu
Mikhail KhodakCMUVerified email at cs.princeton.edu
Sanjiv KumarGoogle Fellow, VP, Google ResearchVerified email at google.com
Anit Kumar SahuAmazon Alexa AIVerified email at alumni.cmu.edu
Maziar SanjabiFacebook AIVerified email at fb.com
Matei ZahariaStanford DAWN Lab and DatabricksVerified email at cs.stanford.edu
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Giulia DeSalvoNew York UniversityVerified email at GOOGLE.COM
Gregory PlumbCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Sebastian CaldasPh.D. Student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Xiangrui MengDatabricksVerified email at databricks.com

Ameet Talwalkar

CMU and Determined AI

Verified email at cmu.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Foundations of Machine Learning M Mohri, A Rostamizadeh, A Talwalkar Cambridge, MA: MIT Press, 2018	4095	2018
Mllib: Machine learning in apache spark X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ... The Journal of Machine Learning Research 17 (1), 1235-1241, 2016	1975	2016
Federated learning: Challenges, methods, and future directions T Li, AK Sahu, A Talwalkar, V Smith IEEE Signal Processing Magazine 37 (3), 50-60, 2020	1429	2020
Hyperband: A novel bandit-based approach to hyperparameter optimization L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar arXiv preprint arXiv:1603.06560, 2016	1290	2016
Federated optimization in heterogeneous networks T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith Proceedings of Machine Learning and Systems 2, 429-450, 2020	1061*	2020
Federated multi-task learning V Smith, CK Chiang, M Sanjabi, AS Talwalkar Advances in neural information processing systems 30, 2017	896	2017
A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013	868	2013
Leaf: A benchmark for federated settings S Caldas, SMK Duddu, P Wu, T Li, J Konečný, HB McMahan, V Smith, ... arXiv preprint arXiv:1812.01097, 2018	464	2018
Random search and reproducibility for neural architecture search L Li, A Talwalkar Uncertainty in artificial intelligence, 367-377, 2020	432	2020
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	422	2013
A scalable bootstrap for massive data A Kleiner, A Talwalkar, P Sarkar, MI Jordan Journal of the Royal Statistical Society, Series B, 2013	389	2013
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	377	2012
Non-stochastic best arm identification and hyperparameter optimization K Jamieson, A Talwalkar Artificial intelligence and statistics, 240-248, 2016	366	2016
Large-scale manifold learning A Talwalkar, S Kumar, H Rowley 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	240	2008
Divide-and-Conquer Matrix Factorization LW Mackey, A Talwalkar, MI Jordan NIPS, 1134-1142, 2011	228	2011
MLI: An API for distributed machine learning ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ... 2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013	224	2013
Joint link prediction and attribute inference using a social-attribute network NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, ER Shi, ... ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 27, 2014	200	2014
Expanding the reach of federated learning by reducing client resource requirements S Caldas, J Konečny, HB McMahan, A Talwalkar arXiv preprint arXiv:1812.07210, 2018	195	2018
Knowing when you're wrong: building fast and reliable approximate query processing systems S Agarwal, H Milner, A Kleiner, A Talwalkar, M Jordan, S Madden, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	194	2014
Ensemble nystrom method S Kumar, M Mohri, A Talwalkar Neural Information Processing Systems, 2009	173	2009

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