Sashank J. Reddi

Cited by

	All	Since 2019
Citations	13589	12718
h-index	37	35
i10-index	55	53

3600

1800

900

2700

201520162017201820192020202120222023202435 108 209 460 842 1265 1890 2739 3570 2383

Public access

View all

8 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Sanjiv KumarGoogle Fellow, VP, Google ResearchVerified email at google.com
Satyen KaleResearch Scientist, Google ResearchVerified email at google.com
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Suvrit SraTUM and MITVerified email at mit.edu
Alex SmolaBoson AIVerified email at smola.org
Ahmed HefnyApplied Research Scientist, CruiseVerified email at getcruise.com
Jakub KonečnýResearch Scientist, GoogleVerified email at google.com
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Kumar Avinava DubeyGoogle ResearchVerified email at google.com
Hongyi ZhangByteDance Inc.Verified email at bytedance.com
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Peter RichtarikProfessor, KAUSTVerified email at kaust.edu.sa
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Sinead WilliamsonAssistant professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Nisarg ShahAssociate Professor, University of TorontoVerified email at cs.toronto.edu
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu

Sashank J. Reddi

Other namesSashank Reddi, Sashank Jakkam Reddi

Research Scientist, Google Research

Verified email at cs.cmu.edu - Homepage

Machine Learning Optimization Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Connections are Expressive Enough: Universal Approximability of Sparse Transformers AS Rawat, C Yun, S Kumar, S Reddi, S Bhojanapalli, YW Chang		2020
2017 Theses by Author K EARLY, Y MA, GD MONTAÑEZ, SJ REDDI, YX WANG, J XIANG
A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021	337	2021
A generic approach for escaping saddle points S Reddi, M Zaheer, S Sra, B Poczos, F Bach, R Salakhutdinov, A Smola International conference on artificial intelligence and statistics, 1233-1242, 2018	75	2018
A maximum likelihood approach for selecting sets of alternatives AD Procaccia, SJ Reddi, N Shah arXiv preprint arXiv:1210.4882, 2012	89	2012
A statistical perspective on distillation AK Menon, AS Rawat, S Reddi, S Kim, S Kumar International Conference on Machine Learning, 7632-7642, 2021	78	2021
Adaclip: Adaptive clipping for private sgd V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar arXiv preprint arXiv:1908.07643, 2019	122	2019
Adaptive federated optimization S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečný, S Kumar, ... arXiv preprint arXiv:2003.00295, 2020	1310	2020
Adaptive methods for nonconvex optimization M Zaheer, S Reddi, D Sachan, S Kale, S Kumar Advances in neural information processing systems 31, 2018	464	2018
Adaptive optimization with improved convergence SJ Reddi, S Kumar, SC Kale US Patent 11,586,904, 2023	1	2023
Adaptive Optimization with Improved Convergence SJ Reddi, S Kumar, SC Kale US Patent App. 18/081,403, 2023		2023
Adaptive sampling distributed stochastic variance reduced gradient for heterogeneous distributed datasets I Ramazanli, H Nguyen, H Pham, SJ Reddi, B Poczos arXiv preprint arXiv:2002.08528, 2020	16	2020
Adaptivity and computation-statistics tradeoffs for kernel and distance based high dimensional two sample testing A Ramdas, SJ Reddi, B Poczos, A Singh, L Wasserman arXiv preprint arXiv:1508.00655, 2015	34	2015
Aide: Fast and communication efficient distributed optimization SJ Reddi, J Konečný, P Richtárik, B Póczós, A Smola arXiv preprint arXiv:1608.06879, 2016	175	2016
Are transformers universal approximators of sequence-to-sequence functions? C Yun, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar arXiv preprint arXiv:1912.10077, 2019	314	2019
Breaking the centralized barrier for cross-device federated learning SP Karimireddy, M Jaggi, S Kale, M Mohri, S Reddi, SU Stich, AT Suresh Advances in Neural Information Processing Systems 34, 28663-28676, 2021	73	2021
Breaking the glass ceiling for embedding-based classifiers for large output spaces C Guo, A Mousavi, X Wu, DN Holtmann-Rice, S Kale, S Reddi, S Kumar Advances in Neural Information Processing Systems 32, 2019	67	2019
Can gradient clipping mitigate label noise? AK Menon, AS Rawat, SJ Reddi, S Kumar International Conference on Learning Representations, 2020	161	2020
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? K Gatmiry, N Saunshi, SJ Reddi, S Jegelka, S Kumar Forty-first International Conference on Machine Learning, 0	1
Communication Efficient Coresets for Empirical Loss Minimization. SJ Reddi, B Póczos, AJ Smola UAI, 752-761, 2015	37	2015

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

Cited by

Co-authors