E-LIB Suche - Ergebnisse für: Shamir, Ohad

1

Depth Separations in Neural Networks: What is Actually Bein..:

Safran, Itay ; Eldan, Ronen ; Shamir, Ohad
Constructive Approximation. 55 (2021) 1 - p. 225-257 , 2021

2

Size-independent sample complexity of neural networks:

Shamir, Ohad ; Rakhlin, Alexander ; Golowich, Noah
Information and Inference: A Journal of the IMA. 9 (2020) 2 - p. 473-504 , 2020

Link: https://doi.org/10.1093/..

3

DISCUSSION OF: "NONPARAMETRIC REGRESSION USING DEEP NEURAL ..:

Shamir, Ohad
The Annals of Statistics. 48 (2020) 4 - p. 1911-1915 , 2020

Link: https://www.jstor.org/st..

4

Oracle complexity of second-order methods for smooth convex..:

Arjevani, Yossi ; Shamir, Ohad ; Shiff, Ron
Mathematical Programming. 178 (2018) 1-2 - p. 327-360 , 2018

Link: https://doi.org/10.1007/..

5

Nonstochastic Multi-Armed Bandits with Graph-Structured Fee..:

Alon, Noga ; Cesa-Bianchi, Nicolò ; Gentile, Claudio...
SIAM Journal on Computing. 46 (2017) 6 - p. 1785-1826 , 2017

Link: https://doi.org/10.1137/..

6

Unified Algorithms for Online Learning and Competitive Anal..:

Buchbinder, Niv ; Chen, Shahar ; Naor, Joseph (Seffi).
Mathematics of Operations Research. 41 (2016) 2 - p. 612-625 , 2016

Link: http://www.jstor.org/sta..

7

High-resolution microbial community reconstruction by integ..:

Amir, Amnon ; Zeisel, Amit ; Zuk, Or...
Nucleic Acids Research. 41 (2013) 22 - p. e205-e205 , 2013

Link: https://doi.org/10.1093/..

8

Learning Kernel-Based Halfspaces with the 0-1 Loss:

Shalev-Shwartz, Shai ; Shamir, Ohad ; Sridharan, Karthik
SIAM Journal on Computing. 40 (2011) 6 - p. 1623-1646 , 2011

Link: https://doi.org/10.1137/..

9

Stability and model selection in k-means clustering:

Shamir, Ohad ; Tishby, Naftali
Machine Learning. 80 (2010) 2-3 - p. 213-243 , 2010

Link: https://doi.org/10.1007/..

10

Learning and generalization with the information bottleneck:

Shamir, Ohad ; Sabato, Sivan ; Tishby, Naftali
Theoretical Computer Science. 411 (2010) 29-30 - p. 2696-2711 , 2010

Link: https://doi.org/10.1016/..

11

Learning to classify with missing and corrupted features:

Dekel, Ofer ; Shamir, Ohad ; Xiao, Lin
Machine Learning. 81 (2009) 2 - p. 149-178 , 2009

Link: https://doi.org/10.1007/..

12

Good learners for evil teachers:

, In: Proceedings of the 26th Annual International Conference on Machine Learning,

Dekel, Ofer ; Shamir, Ohad - p. 233-240 , 2009

Link: https://dl.acm.org/doi/1..

13

Learning to classify with missing and corrupted features:

, In: Proceedings of the 25th international conference on Machine learning,

Dekel, Ofer ; Shamir, Ohad - p. 216-223 , 2008

Link: https://dl.acm.org/doi/1..

14

Accelerated Zeroth-order Method for Non-Smooth Stochastic C..:

Kornilov, Nikita ; Shamir, Ohad ; Lobanov, Aleksandr...
http://arxiv.org/abs/2310.18763. , 2023

Link: http://arxiv.org/abs/231..

15

Initialization-Dependent Sample Complexity of Linear Predic..:

Magen, Roey ; Shamir, Ohad
http://arxiv.org/abs/2305.16475. , 2023

Link: http://arxiv.org/abs/230..