Ariel Jaffe

26 papers A* 3A 4Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph-based Semi-Supervised Learning via Maximum Discrimination.
CoRR
Nadav Katz, Ariel Jaffe
2026 J jnl
SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction.
CoRR
Ortal Reshef, Ofer Glassman, Or Zuk, Yariv Aizenbud, Boaz Nadler, Ariel Jaffe
2024 J jnl
Spectral Self-supervised Feature Selection.
CoRR
Daniel Segal, Ofir Lindenbaum, Ariel Jaffe
2024 J jnl
Spectral Self-supervised Feature Selection.
Trans. Mach. Learn. Res.
Daniel Segal, Ofir Lindenbaum, Ariel Jaffe
2023 J jnl
Multi-modal Differentiable Unsupervised Feature Selection.
CoRR
Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe
2023 A conf
Multi-modal differentiable unsupervised feature selection.
UAI
Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe
2022 A* conf
DiSC: Differential Spectral Clustering of Features.
NeurIPS
Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe
2022 J jnl
DiSC: Differential Spectral Clustering of Features.
CoRR
Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe
2021 J jnl
Spectral Neighbor Joining for Reconstruction of Latent Tree Models.
SIAM J. Math. Data Sci.
Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2021 J jnl
Spectral Top-Down Recovery of Latent Tree Models.
CoRR
Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2020 J jnl
Randomized near-neighbor graphs, giant components and applications in data science.
J. Appl. Probab.
Ariel Jaffe, Yuval Kluger, George C. Linderman, Gal Mishne, Stefan Steinerberger
2020 J jnl
Spectral neighbor joining for reconstruction of latent tree models.
CoRR
Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2020 J jnl
Super-resolution multi-reference alignment.
CoRR
Tamir Bendory, Ariel Jaffe, William E. Leeb, Nir Sharon, Amit Singer
2020 J jnl
The Spectral Underpinning of word2vec.
CoRR
Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger
2020 J jnl
The Spectral Underpinning of word2vec.
Frontiers Appl. Math. Stat.
Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger
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 A conf
Minimax-optimal semi-supervised regression on unknown manifolds.
AISTATS
Amit Moscovich, Ariel Jaffe, Boaz Nadler
2016 A* conf
A Deep Learning Approach to Unsupervised Ensemble Learning.
ICML
Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2016 J jnl
A Deep Learning Approach to Unsupervised Ensemble Learning.
CoRR
Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2016 J jnl
Minimax-optimal semi-supervised regression on unknown manifolds.
CoRR
Amit Moscovich, Ariel Jaffe, Boaz Nadler
2016 A conf
Unsupervised Ensemble Learning with Dependent Classifiers.
AISTATS
Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
2015 A conf
Estimating the accuracies of multiple classifiers without labeled data.
AISTATS
Ariel Jaffe, Boaz Nadler, Yuval Kluger
2015 J jnl
Unsupervised Ensemble Learning with Dependent Classifiers.
CoRR
Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
2014 J jnl
Estimating the Accuracies of Multiple Classifiers Without Labeled Data.
CoRR
Ariel Jaffe, Boaz Nadler, Yuval Kluger
2014 J jnl
Single-Site Localization via Maximum Discrimination Multipath Fingerprinting.
IEEE Trans. Signal Process.
Ariel Jaffe, Mati Wax