Roi Weiss

Orcid: 0000-0003-1801-1499

According to our database1, Roi Weiss authored at least 16 papers between 2013 and 2024.

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Bibliography

2024
The MLE is minimax optimal for LGC.
CoRR, 2024

Resilience of the quadratic Littlewood-Offord problem.
CoRR, 2024

Weighted distance nearest neighbor condensing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Tree Density Estimation.
IEEE Trans. Inf. Theory, February, 2023

Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation.
CoRR, 2023

On Error and Compression Rates for Prototype Rules.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces.
J. Mach. Learn. Res., 2021

2020
Universal Bayes Consistency in Metric Spaces.
Proceedings of the Information Theory and Applications Workshop, 2020

2018
Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors.
SIAM J. Matrix Anal. Appl., 2018

Learning Binary Latent Variable Models: A Tensor Eigenpair Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Learning Parametric-Output HMMs with Two Aliased States.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A Bayes consistent 1-NN classifier.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-Type Inequalities for Markov Chains and Related Processes.
J. Appl. Probab., 2014

Maximum Margin Multiclass Nearest Neighbors.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
On learning parametric-output HMMs.
Proceedings of the 30th International Conference on Machine Learning, 2013


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