Dimitris Papailiopoulos

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Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Zachary CharlesResearch Scientist, GoogleVerified email at google.com
Hongyi WangCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Megasthenis AsterisUniversity of Texas at AustinVerified email at utexas.edu
Kangwook LeeUniversity of Wisconsin-MadisonVerified email at wisc.edu
Maximilian LamHarvard UniversityVerified email at g.harvard.edu
Shashank RajputGraduate Student, University of Wisconsin - MadisonVerified email at wisc.edu
George KarystinosTechnical University of CreteVerified email at telecom.tuc.gr
Xinghao PanSenior Research Scientist @ DSO National LaboratoriesVerified email at dso.org.sg
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Ramtin PedarsaniAssistant Professor, Electrical and Computer Engineering, UC Santa BarbaraVerified email at ece.ucsb.edu
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Scott Chun-Yang ChenFacebook, CaltechVerified email at fb.com
Maheswaran (Mahesh) SathiamoorthyGoogle ResearchVerified email at google.com
Dhruba BorthakurHDFS, RocksDB, RocksetVerified email at rockset.com
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice UniversityVerified email at rice.edu
Shengchao(Chao) LiuMILA-UdeMVerified email at umontreal.ca
Saurabh AgarwalUW-MadisonVerified email at wisc.edu

Dimitris Papailiopoulos

Assistant Professor, University of Wisconsin-Madison

Verified email at papail.io - Homepage

Machine Learning Information Theory Optimization


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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	802	2013
Speeding up distributed machine learning using codes K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran IEEE Transactions on Information Theory, 2017	589	2017
Locally repairable codes DS Papailiopoulos, AG Dimakis IEEE Transactions on Information Theory 60 (10), 5843-5855, 2014	512	2014
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	238	2012
Locality and availability in distributed storage AS Rawat, DS Papailiopoulos, AG Dimakis, S Vishwanath IEEE Transactions on Information Theory 62 (8), 4481-4493, 2016	226	2016
Interference alignment as a rank constrained rank minimization DS Papailiopoulos, AG Dimakis IEEE Transactions on Signal Processing 60 (8), 4278-4288, 2012	200	2012
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	195	2016
Repair optimal erasure codes through hadamard designs DS Papailiopoulos, AG Dimakis, VR Cadambe IEEE transactions on information theory 59 (5), 3021-3037, 2013	188	2013
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	163	2017
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	161	2018
Federated Learning with Matched Averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni ICLR 2020, 2020	159	2020
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients L Chen, H Wang, Z Charles, D Papailiopoulos International Conference on Machine Learning, 902-911, 2018	152*	2018
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	85*	2018
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	73	2015
Provable Deterministic Leverage Score Sampling D Papailiopoulos, A Kyrillidis, C Boutsidis arXiv preprint arXiv:1404.1530, 2014	68	2014
Sparse PCA through low-rank approximations D Papailiopoulos, A Dimakis, S Korokythakis International Conference on Machine Learning, 747-755, 2013	67	2013
Approximate Gradient Coding via Sparse Random Graphs Z Charles, D Papailiopoulos, J Ellenberg arXiv preprint arXiv:1711.06771, 2017	60	2017
Cyclades: Conflict-free asynchronous machine learning X Pan, M Lam, S Tu, D Papailiopoulos, C Zhang, MI Jordan, ... Advances in Neural Information Processing Systems, 2568-2576, 2016	57	2016
Stability and generalization of learning algorithms that converge to global optima Z Charles, D Papailiopoulos International Conference on Machine Learning, 745-754, 2018	55	2018
A repair framework for scalar MDS codes K Shanmugam, DS Papailiopoulos, AG Dimakis, G Caire IEEE Journal on Selected Areas in Communications 32 (5), 998-1007, 2014	54	2014

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