On learning parametric-output HMMs. - Aryeh Kontorovich; Boaz Nadler; Roi Weiss (ICML (3), 2013)

Maximum Margin Multiclass Nearest Neighbors. - Aryeh Kontorovich; Roi Weiss (ICML, 2014)

Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-Type Inequalities for Markov Chains and Related Processes. - Aryeh Kontorovich; Roi Weiss (J. Appl. Probab., 2014)

A Bayes consistent 1-NN classifier. - Aryeh Kontorovich; Roi Weiss (AISTATS, 2015)

Learning Parametric-Output HMMs with Two Aliased States. - Roi Weiss; Boaz Nadler (ICML, 2015)

Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions. - Aryeh Kontorovich; Sivan Sabato; Roi Weiss (NIPS, 2017)

Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. - Ariel Jaffe; Roi Weiss; Shai Carmi; Yuval Kluger; Boaz Nadler (ICML, 2018)

Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors. - Ariel Jaffe; Roi Weiss; Boaz Nadler (SIAM J. Matrix Anal. Appl., 2018)

Universal Bayes Consistency in Metric Spaces. - Steve Hanneke; Aryeh Kontorovich; Sivan Sabato; Roi Weiss (ITA, 2020)

Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces. - László Györfi; Roi Weiss (J. Mach. Learn. Res., 2021)

On Error and Compression Rates for Prototype Rules. - Omer Kerem; Roi Weiss (AAAI, 2023)

Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation. - Roi Peleg; Roi Weiss; Assaf Hoogi (CoRR, 2023)

Tree Density Estimation. - László Györfi; Aryeh Kontorovich; Roi Weiss (IEEE Trans. Inf. Theory, 2023)

Weighted distance nearest neighbor condensing. - Lee-Ad Gottlieb; Timor Sharabi; Roi Weiss (ICML, 2024)

Resilience of the quadratic Littlewood-Offord problem. - Elad Aigner-Horev; Daniel Rozenberg; Roi Weiss (CoRR, 2024)

The MLE is minimax optimal for LGC. - Doron Cohen 002; Aryeh Kontorovich; Roi Weiss (CoRR, 2024)