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Ashok Cutkosky
Ashok Cutkosky
Boston University
Email verificata su cutkosky.com - Home page
Titolo
Citata da
Citata da
Anno
Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes
AL Sanborn, SSP Rao, SC Huang, NC Durand, MH Huntley, AI Jewett, ...
Proceedings of the National Academy of Sciences 112 (47), E6456-E6465, 2015
14182015
Momentum-based variance reduction in non-convex sgd
A Cutkosky, F Orabona
Advances in neural information processing systems 32, 2019
1982019
Black-box reductions for parameter-free online learning in banach spaces
A Cutkosky, F Orabona
Conference On Learning Theory, 1493-1529, 2018
902018
Online learning without prior information
A Cutkosky, K Boahen
arXiv preprint arXiv:1703.02629, 2017
582017
Momentum improves normalized sgd
A Cutkosky, H Mehta
International conference on machine learning, 2260-2268, 2020
492020
Online learning with imperfect hints
A Bhaskara, A Cutkosky, R Kumar, M Purohit
International Conference on Machine Learning, 822-831, 2020
352020
Anytime online-to-batch, optimism and acceleration
A Cutkosky
International Conference on Machine Learning, 1446-1454, 2019
35*2019
Parameter-free, dynamic, and strongly-adaptive online learning
A Cutkosky
International Conference on Machine Learning, 2250-2259, 2020
302020
Online convex optimization with unconstrained domains and losses
A Cutkosky, KA Boahen
Advances in Neural Information Processing Systems 29, 2016
232016
Dynamic balancing for model selection in bandits and rl
A Cutkosky, C Dann, A Das, C Gentile, A Pacchiano, M Purohit
International Conference on Machine Learning, 2276-2285, 2021
192021
Matrix-free preconditioning in online learning
A Cutkosky, T Sarlos
International Conference on Machine Learning, 1455-1464, 2019
182019
Distributed stochastic optimization via adaptive SGD
A Cutkosky, R Busa-Fekete
Advances in Neural Information Processing Systems 31, 2018
182018
Artificial constraints and hints for unbounded online learning
A Cutkosky
Conference on Learning Theory, 874-894, 2019
162019
Combining online learning guarantees
A Cutkosky
Conference on Learning Theory, 895-913, 2019
142019
Kernel truncated randomized ridge regression: Optimal rates and low noise acceleration
KS Jun, A Cutkosky, F Orabona
Advances in neural information processing systems 32, 2019
132019
Stochastic and adversarial online learning without hyperparameters
A Cutkosky, KA Boahen
Advances in Neural Information Processing Systems 30, 2017
122017
Extreme memorization via scale of initialization
H Mehta, A Cutkosky, B Neyshabur
arXiv preprint arXiv:2008.13363, 2020
112020
Online linear optimization with many hints
A Bhaskara, A Cutkosky, R Kumar, M Purohit
Advances in neural information processing systems 33, 9530-9539, 2020
102020
Large scale transfer learning for differentially private image classification
H Mehta, A Thakurta, A Kurakin, A Cutkosky
arXiv preprint arXiv:2205.02973, 2022
92022
High-probability bounds for non-convex stochastic optimization with heavy tails
A Cutkosky, H Mehta
Advances in Neural Information Processing Systems 34, 4883-4895, 2021
72021
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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