Ashok Cutkosky
Ashok Cutkosky
Google
Verified email at cutkosky.com - Homepage
TitleCited byYear
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
6192015
Online learning without prior information
A Cutkosky, K Boahen
arXiv preprint arXiv:1703.02629, 2017
202017
Black-box reductions for parameter-free online learning in banach spaces
A Cutkosky, F Orabona
arXiv preprint arXiv:1802.06293, 2018
142018
Online convex optimization with unconstrained domains and losses
A Cutkosky, KA Boahen
Advances in Neural Information Processing Systems, 748-756, 2016
122016
Distributed stochastic optimization via adaptive SGD
A Cutkosky, R Busa-Fekete
Advances in Neural Information Processing Systems, 1910-1919, 2018
72018
Stochastic and adversarial online learning without hyperparameters
A Cutkosky, KA Boahen
Advances in Neural Information Processing Systems, 5059-5067, 2017
42017
Momentum-Based Variance Reduction in Non-Convex SGD
A Cutkosky, F Orabona
arXiv preprint arXiv:1905.10018, 2019
12019
Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning
A Cutkosky
arXiv preprint arXiv:1902.09013, 2019
12019
Surrogate losses for online learning of stepsizes in stochastic non-convex optimization
Z Zhuang, A Cutkosky, F Orabona
arXiv preprint arXiv:1901.09068, 2019
12019
Artificial Constraints and Hints for Unbounded Online Learning
A Cutkosky
Conference on Learning Theory, 874-894, 2019
2019
Matrix-Free Preconditioning in Online Learning
A Cutkosky, T Sarlos
arXiv preprint arXiv:1905.12721, 2019
2019
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
KS Jun, A Cutkosky, F Orabona
arXiv preprint arXiv:1905.10680, 2019
2019
Anytime Online-to-Batch, Optimism and Acceleration
A Cutkosky
International Conference on Machine Learning, 1446-1454, 2019
2019
Anytime Online-to-Batch Conversions, Optimism, and Acceleration
A Cutkosky
arXiv preprint arXiv:1903.00974, 2019
2019
Combining Online Learning Guarantees
A Cutkosky
arXiv preprint arXiv:1902.09003, 2019
2019
Algorithms and Lower Bounds for Parameter-free Online Learning
A Cutkosky
Stanford University, 2018
2018
Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes
A Sanborn, S Rao, SC Huang, N Durand, M Huntley, A Jewett, I Bochkov, ...
The FASEB Journal 30 (1_supplement), 588.1-588.1, 2016
2016
Bloom Features
A Cutkosky, K Boahen
2015 International Conference on Computational Science and Computational …, 2015
2015
In silico simulations of polymer condensation: the fractal globule as a metastable state
L Furchtgott, A Cutkosky, N Tarazi, E Lieberman Aiden
APS Meeting Abstracts, 2012
2012
PolyGraph: a Polymer Visualization system
A Cutkosky, N Tarazi, E Lieberman Aiden
APS March Meeting Abstracts, 2012
2012
The system can't perform the operation now. Try again later.
Articles 1–20