Jaffe, Ariel

8 publications

TMLR 2024 Spectral Self-Supervised Feature Selection Daniel Segal, Ofir Lindenbaum, Ariel Jaffe

UAI 2023 Multi-Modal Differentiable Unsupervised Feature Selection Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe

NeurIPS 2022 DiSC: Differential Spectral Clustering of Features Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe

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

AISTATS 2017 Minimax-Optimal Semi-Supervised Regression on Unknown Manifolds Amit Moscovich, Ariel Jaffe, Boaz Nadler

ICML 2016 A Deep Learning Approach to Unsupervised Ensemble Learning Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph Chang, Yuval Kluger

AISTATS 2016 Unsupervised Ensemble Learning with Dependent Classifiers Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger

AISTATS 2015 Estimating the Accuracies of Multiple Classifiers Without Labeled Data Ariel Jaffe, Boaz Nadler, Yuval Kluger