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2020 – today
- 2024
[c9]Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss:
Weighted distance nearest neighbor condensing. ICML 2024- [i12]Elad Aigner-Horev, Daniel Rozenberg, Roi Weiss:
Resilience of the quadratic Littlewood-Offord problem. CoRR abs/2402.10504 (2024) - 2023
- [j4]László Györfi, Aryeh Kontorovich
, Roi Weiss:
Tree Density Estimation. IEEE Trans. Inf. Theory 69(2): 1168-1176 (2023) - [c8]Omer Kerem, Roi Weiss:
On Error and Compression Rates for Prototype Rules. AAAI 2023: 8228-8236 - [i11]Roi Peleg, Roi Weiss, Assaf Hoogi:
Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation. CoRR abs/2306.01423 (2023) - [i10]Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss:
Weighted Distance Nearest Neighbor Condensing. CoRR abs/2310.15951 (2023) - 2022
- [i9]Omer Kerem, Roi Weiss:
On Error and Compression Rates for Prototype Rules. CoRR abs/2206.08014 (2022) - 2021
- [j3]László Györfi, Roi Weiss:
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces. J. Mach. Learn. Res. 22: 151:1-151:25 (2021) - [i8]László Györfi, Aryeh Kontorovich, Roi Weiss:
Tree density estimation. CoRR abs/2111.11971 (2021) - 2020
- [c7]Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss:
Universal Bayes Consistency in Metric Spaces. ITA 2020: 1-33 - [i7]László Györfi, Roi Weiss:
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces. CoRR abs/2010.00636 (2020)
2010 – 2019
- 2019
- [i6]Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss:
Universal Bayes consistency in metric spaces. CoRR abs/1906.09855 (2019) - 2018
- [j2]Ariel Jaffe, Roi Weiss, Boaz Nadler:
Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 39(3): 1071-1094 (2018) - [c6]Ariel Jaffe, Roi Weiss, Shai Carmi, Yuval Kluger, Boaz Nadler:
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. ICML 2018: 2201-2210 - 2017
- [c5]Aryeh Kontorovich, Sivan Sabato, Roi Weiss:
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions. NIPS 2017: 1573-1583 - [i5]Aryeh Kontorovich, Sivan Sabato, Roi Weiss:
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions. CoRR abs/1705.08184 (2017) - 2015
- [c4]Aryeh Kontorovich, Roi Weiss:
A Bayes consistent 1-NN classifier. AISTATS 2015 - [c3]Roi Weiss, Boaz Nadler:
Learning Parametric-Output HMMs with Two Aliased States. ICML 2015: 635-644 - [i4]Roi Weiss, Boaz Nadler:
Learning Parametric-Output HMMs with Two Aliased States. CoRR abs/1502.02158 (2015) - 2014
- [j1]Aryeh Kontorovich, Roi Weiss:
Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-Type Inequalities for Markov Chains and Related Processes. J. Appl. Probab. 51(4): 1100-1113 (2014) - [c2]Aryeh Kontorovich, Roi Weiss:
Maximum Margin Multiclass Nearest Neighbors. ICML 2014: 892-900 - [i3]Aryeh Kontorovich, Roi Weiss:
Maximum Margin Multiclass Nearest Neighbors. CoRR abs/1401.7898 (2014) - [i2]Aryeh Kontorovich, Roi Weiss:
A Bayes consistent 1-NN classifier. CoRR abs/1407.0208 (2014) - 2013
- [c1]Aryeh Kontorovich, Boaz Nadler, Roi Weiss:
On learning parametric-output HMMs. ICML (3) 2013: 702-710 - [i1]Aryeh Kontorovich, Boaz Nadler, Roi Weiss:
On learning parametric-output HMMs. CoRR abs/1302.6009 (2013)
Coauthor Index
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