Anastasios Kyrillidis

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	Wszystkie	Od 2020
Cytowania	3140	2057
h-indeks	28	23
i10-indeks	60	44

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Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).Zweryfikowany adres z epfl.ch
Chen DunPh.D, Rice UniversityZweryfikowany adres z rice.edu
Cameron WolfePhD Student, Rice UniversityZweryfikowany adres z rice.edu
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinZweryfikowany adres z mail.utexas.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinZweryfikowany adres z utexas.edu
Fangshuo LiaoPh.D. Student, Rice UniversityZweryfikowany adres z rice.edu
Dohyung ParkThe University of Texas at AustinZweryfikowany adres z utexas.edu
Quoc Tran-DinhDepartment of Statistics and Operations Research, UNCZweryfikowany adres z email.unc.edu
Junhyung Lyle KimQuantum Computing--Global Technology Applied Research, JPMorganChaseZweryfikowany adres z jpmorgan.com
Anshumali ShrivastavaRice University, ThirdAI Corp.Zweryfikowany adres z rice.edu
John ChenRice UniversityZweryfikowany adres z rice.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchZweryfikowany adres z google.com
Chris JermaineAssociate Professor of Computer Science, Rice UniversityZweryfikowany adres z cs.rice.edu
Amir KalevInformation Sciences Institute, University of Southern CaliforniaZweryfikowany adres z isi.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityZweryfikowany adres z rice.edu
Stephen BeckerAssociate Professor at University of ColoradoZweryfikowany adres z colorado.edu
Megasthenis AsterisUniversity of Texas at AustinZweryfikowany adres z utexas.edu
Yuxin TangRice UniversityZweryfikowany adres z rice.edu
Dimitris PapailiopoulosResearcher at Microsoft Research & Assoc. Professor at University of WisconsinZweryfikowany adres z papail.io
Vatsal ShahDoordashZweryfikowany adres z utexas.edu

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Anastasios Kyrillidis

Noah Harding CS Associate Professor, Ken Kennedy Institute Fellow, Dean Fellow, Rice University

Zweryfikowany adres z rice.edu - Strona główna

Optimization Nonconvex optimization AI Agents Continual Learning Mixture of experts


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Current progress and open challenges for applying deep learning across the biosciences N Sapoval, A Aghazadeh, MG Nute, DA Antunes, A Balaji, R Baraniuk, ... Nature Communications 13 (1), 1728, 2022	273	2022
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach D Park, A Kyrillidis, C Caramanis, S Sanghavi Artificial Intelligence and Statistics, pp. 65-74, 2016	199	2016
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	195	2016
Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time Z Liu, A Desai, F Liao, W Wang, V Xie, Z Xu, A Kyrillidis, A Shrivastava Advances in Neural Information Processing Systems 36, 52342-52364, 2023	175	2023
Multi-way compressed sensing for sparse low-rank tensors ND Sidiropoulos, A Kyrillidis IEEE Signal Processing Letters, 1-1, 2012	169	2012
Finding low-rank solutions via non-convex matrix factorization, efficiently and provably D Park, A Kyrillidis, C Caramanis, S Sanghavi SIAM Journal on Imaging Sciences 11 (4), 2165–2204, 2018	165*	2018
Sparse projections onto the simplex A Kyrillidis, S Becker, V Cevher, C Koch Proceedings of The 30th International Conference on Machine Learning 28, 235–243, 2012	112	2012
Composite self-concordant minimization. Q Tran-Dinh, A Kyrillidis, V Cevher J. Mach. Learn. Res. 16 (1), 371-416, 2015	106	2015
Provable deterministic leverage score sampling D Papailiopoulos, A Kyrillidis, C Boutsidis Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	103	2014
Matrix recipes for hard thresholding methods A Kyrillidis, V Cevher Journal of Mathematical Imaging and Vision, 2012	92	2012
Pipegcn: Efficient full-graph training of graph convolutional networks with pipelined feature communication C Wan, Y Li, CR Wolfe, A Kyrillidis, NS Kim, Y Lin arXiv preprint arXiv:2203.10428, 2022	84	2022
Provable compressed sensing quantum state tomography via non-convex methods A Kyrillidis, A Kalev, D Park, S Bhojanapalli, C Caramanis, S Sanghavi npj Quantum Information 4 (1), 36, 2018	82*	2018
Distributed learning of fully connected neural networks using independent subnet training B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, C Jermaine Proceedings of the VLDB Endowment 15 (8), 1581-1590, 2022	62*	2022
Statistical inference using SGD T Li, L Liu, A Kyrillidis, C Caramanis Thirty-Second AAAI Conference on Artificial Intelligence, 3571-3578, 2017	57	2017
Recipes on hard thresholding methods A Kyrillidis, V Cevher 2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011	57	2011
Mlsys: The new frontier of machine learning systems A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ... arXiv preprint arXiv:1904.03257, 2019	50	2019
Combinatorial selection and least absolute shrinkage via the CLASH algorithm A Kyrillidis, V Cevher 2012 IEEE International Symposium on Information Theory Proceedings, 2216-2220, 2012	50*	2012
Demon: Momentum Decay for Improved Neural Network Training J Chen, C Wolfe, Z Li, A Kyrillidis ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and …, 2020	46*	2020
IHT dies hard: Provable accelerated iterative hard thresholding R Khanna, A Kyrillidis Proceedings of the Twenty-First International Conference on Artificial …, 2017	42	2017
Group-sparse model selection: Hardness and relaxations L Baldassarre, N Bhan, V Cevher, A Kyrillidis, S Satpathi IEEE Transactions on Information Theory 62 (11), 6508-6534, 2016	42	2016

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