Roi Weiss

27 papers A* 6A 1Misc 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli.
ICML
Doron Cohen, Aryeh Kontorovich, Roi Weiss
2024 J jnl
Resilience of the quadratic Littlewood-Offord problem.
CoRR
Elad Aigner-Horev, Daniel Rozenberg, Roi Weiss
2024 J jnl
The MLE is minimax optimal for LGC.
CoRR
Doron Cohen, Aryeh Kontorovich, Roi Weiss
2024 A* conf
Weighted distance nearest neighbor condensing.
ICML
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
2023 J jnl
Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation.
CoRR
Roi Peleg, Roi Weiss, Assaf Hoogi
2023 A* conf
On Error and Compression Rates for Prototype Rules.
AAAI
Omer Kerem, Roi Weiss
2023 J jnl
Tree Density Estimation.
IEEE Trans. Inf. Theory
László Györfi, Aryeh Kontorovich, Roi Weiss
2023 J jnl
Weighted Distance Nearest Neighbor Condensing.
CoRR
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
2022 J jnl
On Error and Compression Rates for Prototype Rules.
CoRR
Omer Kerem, Roi Weiss
2021 J jnl
Tree density estimation.
CoRR
László Györfi, Aryeh Kontorovich, Roi Weiss
2021 J jnl
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces.
J. Mach. Learn. Res.
László Györfi, Roi Weiss
2020 Misc conf
Universal Bayes Consistency in Metric Spaces.
ITA
Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2020 J jnl
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces.
CoRR
László Györfi, Roi Weiss
2019 J jnl
Universal Bayes consistency in metric spaces.
CoRR
Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2018 A* conf
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach.
ICML
Ariel Jaffe, Roi Weiss, Shai Carmi, Yuval Kluger, Boaz Nadler
2018 J jnl
Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors.
SIAM J. Matrix Anal. Appl.
Ariel Jaffe, Roi Weiss, Boaz Nadler
2017 — conf
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions.
NIPS
Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2017 J jnl
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions.
CoRR
Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2015 A conf
A Bayes consistent 1-NN classifier.
AISTATS
Aryeh Kontorovich, Roi Weiss
2015 A* conf
Learning Parametric-Output HMMs with Two Aliased States.
ICML
Roi Weiss, Boaz Nadler
2015 J jnl
Learning Parametric-Output HMMs with Two Aliased States.
CoRR
Roi Weiss, Boaz Nadler
2014 J jnl
A Bayes consistent 1-NN classifier.
CoRR
Aryeh Kontorovich, Roi Weiss
2014 A* conf
Maximum Margin Multiclass Nearest Neighbors.
ICML
Aryeh Kontorovich, Roi Weiss
2014 J jnl
Maximum Margin Multiclass Nearest Neighbors.
CoRR
Aryeh Kontorovich, Roi Weiss
2014 J jnl
Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-Type Inequalities for Markov Chains and Related Processes.
J. Appl. Probab.
Aryeh Kontorovich, Roi Weiss
2013 J jnl
On learning parametric-output HMMs
CoRR
Aryeh Kontorovich, Boaz Nadler, Roi Weiss
2013 — conf
On learning parametric-output HMMs.
ICML (3)
Aryeh Kontorovich, Boaz Nadler, Roi Weiss