Nadler, Boaz

31 publications

NeurIPS 2025 RGNMR: A Gauss-Newton Method for Robust Matrix Completion with Theoretical Guarantees Eilon Vaknin Laufer, Boaz Nadler

ICLRW 2024 Nichevi: A Probabilistic Framework to Embed Cellular Interaction in Spatial Transcriptomics Nathan Levy, Florian Ingelfinger, Can Ergen-Behr, Boaz Nadler

AISTATS 2024 Recovery Guarantees for Distributed-OMP Chen Amiraz, Robert Krauthgamer, Boaz Nadler

NeurIPS 2024 Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data Eyar Azar, Boaz Nadler

NeurIPS 2024 Truth Is Universal: Robust Detection of Lies in LLMs Lennart Bürger, Fred A. Hamprecht, Boaz Nadler

NeurIPS 2023 Imbalanced Mixed Linear Regression Pini Zilber, Boaz Nadler

AISTATS 2022 Crowdsourcing Regression: A Spectral Approach Yaniv Tenzer, Omer Dror, Boaz Nadler, Erhan Bilal, Yuval Kluger

ICML 2022 Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm Pini Zilber, Boaz Nadler

JMLR 2020 Beyond Trees: Classification with Sparse Pairwise Dependencies Yaniv Tenzer, Amit Moscovich, Mary Frances Dorn, Boaz Nadler, Clifford Spiegelman

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

ICLR 2018 SpectralNet: Spectral Clustering Using Deep Neural Networks Uri Shaham, Kelly Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger

NeurIPS 2017 Cost Efficient Gradient Boosting Sven Peter, Ferran Diego, Fred A. Hamprecht, Boaz Nadler

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

CVPR 2016 Fast Detection of Curved Edges at Low SNR Nati Ofir, Meirav Galun, Boaz Nadler, Ronen Basri

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

ICML 2015 Learning Parametric-Output HMMs with Two Aliased States Roi Weiss, Boaz Nadler

ICCV 2013 Accurate Blur Models vs. Image Priors in Single Image Super-Resolution Netalee Efrat, Daniel Glasner, Alexander Apartsin, Boaz Nadler, Anat Levin

ICML 2013 On Learning Parametric-Output HMMs Aryeh Kontorovich, Boaz Nadler, Roi Weiss

UAI 2012 Active Learning with Distributional Estimates Jens Röder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht

ECCV 2012 Patch Complexity, Finite Pixel Correlations and Optimal Denoising Anat Levin, Boaz Nadler, Frédo Durand, William T. Freeman

CVPR 2011 Natural Image Denoising: Optimality and Inherent Bounds Anat Levin, Boaz Nadler

ECCV 2010 Detecting Faint Curved Edges in Noisy Images Sharon Alpert, Meirav Galun, Boaz Nadler, Ronen Basri

ICML 2010 Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning Matan Gavish, Boaz Nadler, Ronald R. Coifman

NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data Boaz Nadler, Nathan Srebro, Xueyuan Zhou

JMLR 2009 Universal Kernel-Based Learning with Applications to Regular Languages Leonid Kontorovich, Boaz Nadler

CVPR 2008 3D Shape Reconstruction of Mooney Faces Ira Kemelmacher-Shlizerman, Ronen Basri, Boaz Nadler

AISTATS 2007 Treelets | a Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data Ann B. Lee, Boaz Nadler

NeurIPS 2006 Fundamental Limitations of Spectral Clustering Boaz Nadler, Meirav Galun

NeurIPS 2005 Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators Boaz Nadler, Stephane Lafon, Ioannis Kevrekidis, Ronald R. Coifman