Ameet Talwalkar

Cited by

	All	Since 2016
Citations	15019	12877
h-index	41	38
i10-index	61	57

3600

1800

900

2700

20102011201220132014201520162017201820192020202146 82 110 332 565 818 1092 1285 1561 2054 3268 3551

Public access

View all

19 articles

0 articles

available

not available

Based on funding mandates

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
Tian LiCarnegie Mellon UniversityVerified email at cmu.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
Mikhail KhodakCMUVerified email at cs.princeton.edu
Anit Kumar SahuAmazon Alexa AIVerified email at alumni.cmu.edu
Maziar SanjabiFacebook AIVerified email at fb.com
Giulia DeSalvoNew York UniversityVerified email at cims.nyu.edu
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xiangrui MengDatabricksVerified email at databricks.com
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Purnamrita SarkarAssistant Professor, Statistics and Data Sciences, University of Texas at AustinVerified email at austin.utexas.edu
Gregory PlumbCarnegie Mellon UniversityVerified email at andrew.cmu.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	3499	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	1823	2016
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	961	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	831	2020
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	827	2013
Federated multi-task learning V Smith, CK Chiang, M Sanjabi, A Talwalkar arXiv preprint arXiv:1705.10467, 2017	672	2017
Federated optimization in heterogeneous networks T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith arXiv preprint arXiv:1812.06127, 2018	607	2018
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	396	2013
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	365	2012
A scalable bootstrap for massive data A Kleiner, A Talwalkar, P Sarkar, MI Jordan Journal of the Royal Statistical Society, Series B, 2013	361	2013
Random search and reproducibility for neural architecture search L Li, A Talwalkar Uncertainty in artificial intelligence, 367-377, 2020	351	2020
Non-stochastic best arm identification and hyperparameter optimization K Jamieson, A Talwalkar Artificial Intelligence and Statistics, 240-248, 2016	280	2016
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	275	2018
Large-scale manifold learning A Talwalkar, S Kumar, H Rowley 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	236	2008
Divide-and-Conquer Matrix Factorization LW Mackey, A Talwalkar, MI Jordan NIPS, 1134-1142, 2011	226	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	214	2013
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	189	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	182	2014
Ensemble nystrom method S Kumar, M Mohri, A Talwalkar Neural Information Processing Systems, 2009	175	2009
The big data bootstrap A Kleiner, A Talwalkar, P Sarkar, M Jordan International Conference on Machine Learning (ICML), 2012	161	2012

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors