Kumar Kshitij Patel

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Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Blake WoodworthInria (SIERRA)Verified email at inria.fr
Sebastian Urban StichCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Brian BullinsAssistant Professor, Purdue UniversityVerified email at purdue.edu
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Martin JaggiEPFLVerified email at epfl.ch
Tao LINWestlake University | EPFLVerified email at westlake.edu.cn
Aymeric DieuleveutAssistant Professor, Ecole Polytechnique, FranceVerified email at polytechnique.edu
H. Brendan McMahanResearch Scientist, Google SeattleVerified email at google.com
Zhen DaiPhD Student, the University of ChicagoVerified email at uchicago.edu
Purushottam KarIIT KanpurVerified email at cse.iitk.ac.in
Sayash KapoorPrinceton UniversityVerified email at princeton.edu
Lingxiao WangToyota Technological Institute at ChicagoVerified email at ttic.edu
Aadirupa SahaVisiting Faculty, Toyota Technological Institute at Chicago (TTIC)Verified email at microsoft.com
Gal VardiTTI-Chicago and Hebrew UniversityVerified email at ttic.edu
Pedro SavareseTTICVerified email at ttic.edu
Matthew R. WalterToyota Technological Institute at ChicagoVerified email at ttic.edu
Jonathan FrankleMassachusetts Institute of TechnologyVerified email at mit.edu
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Karen LivescuTTI-ChicagoVerified email at ttic.edu

Kumar Kshitij Patel

Phd Student, TTIC

Verified email at ttic.edu - Homepage

Optimization Machine Learning Deep Learning


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Don't use large mini-batches, use local sgd T Lin, SU Stich, KK Patel, M Jaggi arXiv preprint arXiv:1808.07217, 2018	334	2018
Is local SGD better than minibatch SGD? B Woodworth, KK Patel, S Stich, Z Dai, B Bullins, B Mcmahan, O Shamir, ... International Conference on Machine Learning, 10334-10343, 2020	145	2020
Minibatch vs local sgd for heterogeneous distributed learning BE Woodworth, KK Patel, N Srebro Advances in Neural Information Processing Systems 33, 6281-6292, 2020	104	2020
Communication trade-offs for local-sgd with large step size A Dieuleveut, KK Patel Advances in Neural Information Processing Systems 32, 2019	55*	2019
Corruption-tolerant bandit learning S Kapoor, KK Patel, P Kar Machine Learning 108 (4), 687-715, 2019	38	2019
A stochastic newton algorithm for distributed convex optimization B Bullins, K Patel, O Shamir, N Srebro, BE Woodworth Advances in Neural Information Processing Systems 34, 26818-26830, 2021	6	2021
Communication trade-offs for Local-SGD with large step size KK Patel, A Dieuleveut Proceedings of the 33rd International Conference on Neural Information …, 2019	3	2019
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization KK Patel, L Wang, B Woodworth, B Bullins, N Srebro Advances in Neural Information Systems 36, 2022		2022
Distributed Online and Bandit Convex Optimization KK Patel, A Saha, L Wang, N Srebro OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 0
On Convexity and Linear Mode Connectivity in Neural Networks D Yunis, KK Patel, PHP Savarese, G Vardi, J Frankle, M Walter, K Livescu, ... OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 0

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