Ameet Talwalkar

Cited by

	All	Since 2016
Citations	11799	9665
h-index	39	36
i10-index	58	53

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20102011201220132014201520162017201820192020202142 84 111 328 569 816 1085 1274 1564 2040 3168 482

Co-authors

Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesVerified email at google.com
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
Virginia SmithCarnegie Mellon UniversityVerified email at cmu.edu
Liam LiCarnegie Mellon UniversityVerified email at liamcli.com
Kevin JamiesonAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu
Sanjiv KumarDistinguished Scientist, GoogleVerified email at google.com
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Matei ZahariaStanford DAWN Lab and DatabricksVerified email at cs.stanford.edu
Tian LiCarnegie Mellon UniversityVerified email at cmu.edu
Tim KraskaMITVerified email at mit.edu
Giulia DeSalvoNew York UniversityVerified email at cims.nyu.edu
Maziar SanjabiFacebook AIVerified email at fb.com
Anit Kumar SahuAmazon Alexa AIVerified email at alumni.cmu.edu
Xiangrui MengDatabricksVerified email at databricks.com
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Purnamrita SarkarAssistant Professor, Statistics and Data Sciences, University of Texas at AustinVerified email at austin.utexas.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu

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	2823	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	1614	2016
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	762	2013
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	642	2016
Federated multi-task learning V Smith, CK Chiang, M Sanjabi, A Talwalkar arXiv preprint arXiv:1705.10467, 2017	455	2017
Federated learning: Challenges, methods, and future directions T Li, AK Sahu, A Talwalkar, V Smith IEEE Signal Processing Magazine 37 (3), 50-60, 2020	398	2020
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	363	2013
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	335	2012
A scalable bootstrap for massive data A Kleiner, A Talwalkar, P Sarkar, MI Jordan Journal of the Royal Statistical Society, Series B, 2013	329	2013
Federated optimization in heterogeneous networks T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith arXiv preprint arXiv:1812.06127, 2018	249	2018
Random search and reproducibility for neural architecture search L Li, A Talwalkar Uncertainty in Artificial Intelligence, 367-377, 2020	224	2020
Large-scale manifold learning A Talwalkar, S Kumar, H Rowley 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	223	2008
Divide-and-Conquer Matrix Factorization LW Mackey, A Talwalkar, MI Jordan NIPS, 1134-1142, 2011	213	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	200	2013
Non-stochastic best arm identification and hyperparameter optimization K Jamieson, A Talwalkar Artificial Intelligence and Statistics, 240-248, 2016	199	2016
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	179	2014
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	172	2014
Ensemble nystrom method S Kumar, M Mohri, A Talwalkar Neural Information Processing Systems, 2009	160	2009
The big data bootstrap A Kleiner, A Talwalkar, P Sarkar, M Jordan International Conference on Machine Learning (ICML), 2012	156	2012
On the impact of kernel approximation on learning accuracy C Cortes, M Mohri, A Talwalkar Proceedings of the Thirteenth International Conference on Artificial …, 2010	155	2010

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