Artículos con órdenes de acceso público - Daniel KaneMás información
No disponible en ningún lugar: 1
Isoflux Nusselt number expression for combined Poiseuille and Couette flow capturing asymmetry and slip
D Kane, M Hodes
Heat Transfer Research 50 (15), 2019
Órdenes: US National Science Foundation
Disponibles en algún lugar: 83
Robust estimators in high-dimensions without the computational intractability
I Diakonikolas, G Kamath, D Kane, J Li, A Moitra, A Stewart
SIAM Journal on Computing 48 (2), 742-864, 2019
Órdenes: US National Science Foundation, US Department of Defense, UK Engineering and …
Sparser johnson-lindenstrauss transforms
DM Kane, J Nelson
Journal of the ACM (JACM) 61 (1), 1-23, 2014
Órdenes: Danish National Research Foundation
Sever: A robust meta-algorithm for stochastic optimization
I Diakonikolas, G Kamath, D Kane, J Li, J Steinhardt, A Stewart
International Conference on Machine Learning, 1596-1606, 2019
Órdenes: US National Science Foundation, US Department of Defense
Being robust (in high dimensions) can be practical
I Diakonikolas, G Kamath, DM Kane, J Li, A Moitra, A Stewart
International Conference on Machine Learning, 999-1008, 2017
Órdenes: US National Science Foundation, US Department of Defense
Statistical query lower bounds for robust estimation of high-dimensional gaussians and gaussian mixtures
I Diakonikolas, DM Kane, A Stewart
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), 73-84, 2017
Órdenes: US National Science Foundation
A new approach for testing properties of discrete distributions
I Diakonikolas, DM Kane
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
Órdenes: US National Science Foundation
List-decodable robust mean estimation and learning mixtures of spherical gaussians
I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
Órdenes: US National Science Foundation
Robustly learning a gaussian: Getting optimal error, efficiently
I Diakonikolas, G Kamath, DM Kane, J Li, A Moitra, A Stewart
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
Órdenes: US National Science Foundation, US Department of Defense
Testing identity of structured distributions
I Diakonikolas, DM Kane, V Nikishkin
Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014
Órdenes: UK Engineering and Physical Sciences Research Council
Learning geometric concepts with nasty noise
I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
Órdenes: US National Science Foundation
Active classification with comparison queries
DM Kane, S Lovett, S Moran, J Zhang
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
Órdenes: US National Science Foundation
Robustly learning mixtures of k arbitrary Gaussians
A Bakshi, I Diakonikolas, H Jia, DM Kane, PK Kothari, SS Vempala
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
Órdenes: US National Science Foundation, US Department of Defense
Near-optimal sq lower bounds for agnostically learning halfspaces and relus under gaussian marginals
I Diakonikolas, D Kane, N Zarifis
Advances in Neural Information Processing Systems 33, 13586-13596, 2020
Órdenes: US National Science Foundation, US Department of Defense
Super-linear gate and super-quadratic wire lower bounds for depth-two and depth-three threshold circuits
DM Kane, R Williams
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
Órdenes: US National Science Foundation
vqsgd: Vector quantized stochastic gradient descent
V Gandikota, D Kane, RK Maity, A Mazumdar
IEEE Transactions on Information Theory 68 (7), 4573-4587, 2022
Órdenes: US National Science Foundation
vqsgd: Vector quantized stochastic gradient descent
V Gandikota, D Kane, RK Maity, A Mazumdar
International Conference on Artificial Intelligence and Statistics, 2197-2205, 2021
Órdenes: US National Science Foundation
Outlier robust mean estimation with subgaussian rates via stability
I Diakonikolas, DM Kane, A Pensia
Advances in Neural Information Processing Systems 33, 1830-1840, 2020
Órdenes: US National Science Foundation
Robust learning of fixed-structure Bayesian networks
Y Cheng, I Diakonikolas, D Kane, A Stewart
Advances in Neural Information Processing Systems 31, 2018
Órdenes: US National Science Foundation
Testing conditional independence of discrete distributions
CL Canonne, I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
Órdenes: US National Science Foundation
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