Ariel Jaffe

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Ensemble Learning

Multiple Classifiers

Top Venues

J. Appl. Probab.

Publications

Daniel Segal, Ofir Lindenbaum, Ariel Jaffe
Spectral Self-supervised Feature Selection. CoRR (2024)
Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe
Multi-modal Differentiable Unsupervised Feature Selection. CoRR (2023)
Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe
Multi-modal differentiable unsupervised feature selection. UAI (2023)
Sristi Ram Dyuthi, Gal Mishne, Ariel Jaffe
DiSC: Differential Spectral Clustering of Features. CoRR (2022)
Sristi Ram Dyuthi, Gal Mishne, Ariel Jaffe
DiSC: Differential Spectral Clustering of Features. NeurIPS (2022)
Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger
Spectral Neighbor Joining for Reconstruction of Latent Tree Models. SIAM J. Math. Data Sci. 3 (1) (2021)
Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
Spectral Top-Down Recovery of Latent Tree Models. CoRR (2021)
Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
Spectral neighbor joining for reconstruction of latent tree models. CoRR (2020)
Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger
The Spectral Underpinning of word2vec. CoRR (2020)
Tamir Bendory, Ariel Jaffe, William E. Leeb, Nir Sharon, Amit Singer
Super-resolution multi-reference alignment. CoRR (2020)
Ariel Jaffe, Yuval Kluger, George C. Linderman, Gal Mishne, Stefan Steinerberger
Randomized near-neighbor graphs, giant components and applications in data science. J. Appl. Probab. 57 (2) (2020)
Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger
The Spectral Underpinning of word2vec. Frontiers Appl. Math. Stat. 6 (2020)
Ariel Jaffe, Roi Weiss, Boaz Nadler
Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 39 (3) (2018)
Ariel Jaffe, Roi Weiss, Shai Carmi, Yuval Kluger, Boaz Nadler
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. ICML (2018)
Amit Moscovich, Ariel Jaffe, Boaz Nadler
Minimax-optimal semi-supervised regression on unknown manifolds. AISTATS (2017)
Amit Moscovich, Ariel Jaffe, Boaz Nadler
Minimax-optimal semi-supervised regression on unknown manifolds. CoRR (2016)
Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
Unsupervised Ensemble Learning with Dependent Classifiers. AISTATS (2016)
Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger
A Deep Learning Approach to Unsupervised Ensemble Learning. CoRR (2016)
Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger
A Deep Learning Approach to Unsupervised Ensemble Learning. ICML (2016)
Ariel Jaffe, Boaz Nadler, Yuval Kluger
Estimating the accuracies of multiple classifiers without labeled data. AISTATS (2015)
Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
Unsupervised Ensemble Learning with Dependent Classifiers. CoRR (2015)
Ariel Jaffe, Boaz Nadler, Yuval Kluger
Estimating the Accuracies of Multiple Classifiers Without Labeled Data. CoRR (2014)
Ariel Jaffe, Mati Wax
Single-Site Localization via Maximum Discrimination Multipath Fingerprinting. IEEE Trans. Signal Process. 62 (7) (2014)