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Ashok Cutkosky
Ashok Cutkosky
Boston University
Verified email at cutkosky.com - Homepage
Title
Cited by
Cited by
Year
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
13412015
Momentum-based variance reduction in non-convex sgd
A Cutkosky, F Orabona
Advances in neural information processing systems 32, 2019
1602019
Black-box reductions for parameter-free online learning in banach spaces
A Cutkosky, F Orabona
Conference On Learning Theory, 1493-1529, 2018
802018
Online learning without prior information
A Cutkosky, K Boahen
arXiv preprint arXiv:1703.02629, 2017
552017
Momentum improves normalized sgd
A Cutkosky, H Mehta
International conference on machine learning, 2260-2268, 2020
392020
Anytime online-to-batch, optimism and acceleration
A Cutkosky
International Conference on Machine Learning, 1446-1454, 2019
28*2019
Online learning with imperfect hints
A Bhaskara, A Cutkosky, R Kumar, M Purohit
International Conference on Machine Learning, 822-831, 2020
272020
Parameter-free, dynamic, and strongly-adaptive online learning
A Cutkosky
International Conference on Machine Learning, 2250-2259, 2020
232020
Online convex optimization with unconstrained domains and losses
A Cutkosky, KA Boahen
Advances in Neural Information Processing Systems 29, 2016
232016
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
162018
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
152021
Artificial constraints and hints for unbounded online learning
A Cutkosky
Conference on Learning Theory, 874-894, 2019
152019
Combining online learning guarantees
A Cutkosky
Conference on Learning Theory, 895-913, 2019
122019
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
112019
Stochastic and adversarial online learning without hyperparameters
A Cutkosky, KA Boahen
Advances in Neural Information Processing Systems 30, 2017
112017
Extreme memorization via scale of initialization
H Mehta, A Cutkosky, B Neyshabur
arXiv preprint arXiv:2008.13363, 2020
102020
Online linear optimization with many hints
A Bhaskara, A Cutkosky, R Kumar, M Purohit
Advances in neural information processing systems 33, 9530-9539, 2020
92020
Adversarial tracking control via strongly adaptive online learning with memory
Z Zhang, A Cutkosky, I Paschalidis
International Conference on Artificial Intelligence and Statistics, 8458-8492, 2022
52022
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
52021
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