Dimitris Papailiopoulos

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Kangwook LeeUniversity of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinPatvirtintas el. paštas austin.utexas.edu
Hongyi WangGenBio AI; Incoming Assistant Professor, Rutgers UniversityPatvirtintas el. paštas genbio.ai
Shashank RajputResearch Scientist, MosaicML (Databricks)Patvirtintas el. paštas databricks.com
Zachary CharlesResearch Scientist, GooglePatvirtintas el. paštas google.com
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Jy-yong SohnYonsei UniversityPatvirtintas el. paštas yonsei.ac.kr
Kartik SreenivasanGraduate Student, University of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Megasthenis AsterisUniversity of Texas at AustinPatvirtintas el. paštas utexas.edu
Samet OymakEECS Prof @ University of MichiganPatvirtintas el. paštas umich.edu
Ramtin PedarsaniAssociate Professor, Electrical and Computer Engineering, UC Santa BarbaraPatvirtintas el. paštas ece.ucsb.edu
George KarystinosTechnical University of CretePatvirtintas el. paštas telecom.tuc.gr
Xinghao PanPatvirtintas el. paštas eecs.berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Angeliki GiannouUniversity of Wisconsin–MadisonPatvirtintas el. paštas wisc.edu
Lingjiao ChenStanford UniversityPatvirtintas el. paštas stanford.edu
Harit VishwakarmaCS PhD Candidate, University of Wisconsin MadisonPatvirtintas el. paštas cs.wisc.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Liu YangGraduate Student, University of Wisconsin, MadisonPatvirtintas el. paštas wisc.edu
Yuekai SunUniversity of MichiganPatvirtintas el. paštas umich.edu

Stebėti

Dimitris Papailiopoulos

Researcher at Microsoft Research & Assoc. Professor at University of Wisconsin

Patvirtintas el. paštas papail.io - Pagrindinis puslapis

Machine Learning Information Theory Optimization


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Federated Learning with Matched Averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni ICLR 2020, 2020	1396	2020
Speeding up distributed machine learning using codes K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran IEEE Transactions on Information Theory, 2017	1000	2017
XORing elephants: Novel erasure codes for big data M Sathiamoorthy, M Asteris, D Papailiopoulos, AG Dimakis, R Vadali, ... Proceedings of the VLDB Endowment 6 (5), 325-336, 2013	934	2013
Attack of the tails: Yes, you really can backdoor federated learning H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ... Advances in Neural Information Processing Systems 33, 2020	719	2020
Locally repairable codes DS Papailiopoulos, AG Dimakis IEEE Transactions on Information Theory 60 (10), 5843-5855, 2014	605	2014
Atomo: Communication-efficient learning via atomic sparsification H Wang, S Sievert, S Liu, Z Charles, S Wright, D Papailiopoulos Advances in Neural Information Processing Systems 31, 9850-9861, 2018	420	2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients L Chen, H Wang, Z Charles, D Papailiopoulos International Conference on Machine Learning, 902-911, 2018	310*	2018
Locality and availability in distributed storage AS Rawat, DS Papailiopoulos, AG Dimakis, S Vishwanath IEEE Transactions on Information Theory 62 (8), 4481-4493, 2016	291	2016
Optimal locally repairable codes and connections to matroid theory I Tamo, DS Papailiopoulos, AG Dimakis IEEE Transactions on Information Theory 62 (12), 6661-6671, 2016	275	2016
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization H Mania, X Pan, D Papailiopoulos, B Recht, K Ramchandran, MI Jordan SIAM Journal on Optimization 27 (4), 2202-2229, 2017	267	2017
Simple regenerating codes: Network coding for cloud storage DS Papailiopoulos, J Luo, AG Dimakis, C Huang, J Li 2012 Proceedings IEEE INFOCOM, 2801-2805, 2012	252	2012
Repair optimal erasure codes through hadamard designs DS Papailiopoulos, AG Dimakis, VR Cadambe IEEE transactions on information theory 59 (5), 3021-3037, 2013	237	2013
Interference alignment as a rank constrained rank minimization DS Papailiopoulos, AG Dimakis IEEE Transactions on Signal Processing 60 (8), 4278-4288, 2012	219	2012
Stability and generalization of learning algorithms that converge to global optima Z Charles, D Papailiopoulos International Conference on Machine Learning, 745-754, 2018	190	2018
Transformers as Algorithms: Generalization and Stability in In-context Learning Y Li, ME Ildiz, D Papailiopoulos, S Oymak ICML 2023, 2023	183	2023
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning D Yin, A Pananjady, M Lam, D Papailiopoulos, K Ramchandran, P Bartlett Proceedings of the 21th International Conference on Artificial Intelligence …, 2018	163	2018
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks T Dinh, Y Zeng, R Zhang, Z Lin, S Rajput, M Gira, J Sohn, ... NeurIPS 2022, 2022	146	2022
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation S Rajput, H Wang, Z Charles, D Papailiopoulos Advances in Neural Information Processing Systems, 10320-10330, 2019	144	2019
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient A Pensia, S Rajput, A Nagle, H Vishwakarma, D Papailiopoulos Advances in Neural Information Processing Systems 33, 2020	119	2020
Parallel Correlation Clustering on Big Graphs X Pan, D Papailiopoulos, S Oymak, B Recht, K Ramchandran, MI Jordan Advances in Neural Information Processing Systems, 82-90, 2015	108	2015

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