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 CharlesAI Resident, GoogleVerified email at google.com
Megasthenis AsterisUniversity of Texas at AustinVerified email at utexas.edu
Hongyi WangUniversity of Wisconsin - MadisonVerified email at cs.wisc.edu
Kangwook LeeUniversity of Wisconsin-MadisonVerified email at wisc.edu
Maximilian LamHarvard UniversityVerified email at g.harvard.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
Shashank RajputGraduate Student, University of Wisconsin - MadisonVerified email at wisc.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
Horia ManiaMassachusetts Institute of TechnologyVerified email at mit.edu
Shengchao(Chao) LiuUniversity of MontrealVerified email at umontreal.ca

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	772	2013
Speeding up distributed machine learning using codes K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran IEEE Transactions on Information Theory, 2017	503	2017
Locally repairable codes DS Papailiopoulos, AG Dimakis IEEE Transactions on Information Theory 60 (10), 5843-5855, 2014	487	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	232	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	220	2016
Interference alignment as a rank constrained rank minimization DS Papailiopoulos, AG Dimakis IEEE Transactions on Signal Processing 60 (8), 4278-4288, 2012	197	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	189	2016
Repair optimal erasure codes through hadamard designs DS Papailiopoulos, AG Dimakis, VR Cadambe IEEE transactions on information theory 59 (5), 3021-3037, 2013	183	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	155	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	129	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	115*	2018
Federated Learning with Matched Averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni ICLR 2020, 2020	86	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	67	2015
Provable Deterministic Leverage Score Sampling D Papailiopoulos, A Kyrillidis, C Boutsidis arXiv preprint arXiv:1404.1530, 2014	66	2014
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	63*	2018
Sparse PCA through low-rank approximations D Papailiopoulos, A Dimakis, S Korokythakis International Conference on Machine Learning, 747-755, 2013	63	2013
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	55	2016
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	51	2014
Nonnegative sparse PCA with provable guarantees M Asteris, D Papailiopoulos, A Dimakis International Conference on Machine Learning, 1728-1736, 2014	49	2014
Stability and generalization of learning algorithms that converge to global optima Z Charles, D Papailiopoulos International Conference on Machine Learning, 745-754, 2018	47	2018

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