Seuraa
Roi Weiss
Roi Weiss
Vahvistettu sähköpostiosoite verkkotunnuksessa ariel.ac.il
Nimike
Viittaukset
Viittaukset
Vuosi
A Bayes consistent 1-NN classifier
A Kontorovich, R Weiss
Artificial Intelligence and Statistics (AISTATS 2015), 2014
442014
On learning parametric-output HMMs
A Kontorovich, B Nadler, R Weiss
International Conference on Machine Learning (ICML 2013), 2013
412013
Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-type inequalities for Markov chains and related processes
A Kontorovich, R Weiss
Journal of Applied Probability 51 (4), 1100-1113, 2014
372014
Maximum margin multiclass nearest neighbors
A Kontorovich, R Weiss
International Conference on Machine Learning (ICML 2014), 2014
362014
Universal Bayes consistency in metric spaces
S Hanneke, A Kontorovich, S Sabato, R Weiss
The Annals of Statistics 49 (4), 2129-2150, 2021
332021
Nearest-neighbor sample compression: Efficiency, consistency, infinite dimensions
A Kontorovich, S Sabato, R Weiss
31st Conference on Neural Information Processing Systems (NIPS 2017), Long …, 2017
222017
Newton correction methods for computing real eigenpairs of symmetric tensors
A Jaffe, R Weiss, B Nadler
SIAM Journal on Matrix Analysis and Applications 39 (3), 1071-1094, 2018
212018
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
L Györfi, R Weiss
The Journal of Machine Learning Research 22 (1), 6702-6726, 2021
152021
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
A Jaffe, R Weiss, S Carmi, Y Kluger, B Nadler
International Conference on Machine Learning (ICML 2018), 2018
152018
Learning parametric-output HMMs with two aliased states
R Weiss, B Nadler
International Conference on Machine Learning (ICML 2015), 2015
52015
Predictive information as a criterion to linear dynamical systems reduction
R Weiss
Master’s thesis, Racah Institute of Physics, Hebrew University, Jerusalem …, 2007
22007
Tree density estimation
L Györfi, A Kontorovich, R Weiss
IEEE Transactions on Information Theory, 2022
2022
On Error and Compression Rates for Prototype Rules
O Kerem, R Weiss
AAAI 2023, 2022
2022
Metric and Spectral Techniques for Large-scale Learning Problems
R Weiss
Ben-Gurion University of the Negev, 2015
2015
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Artikkelit 1–14