| 2024 | AISTATS | Recovery Guarantees for Distributed-OMP. | Chen Amiraz, Robert Krauthgamer, Boaz Nadler |
| 2022 | AISTATS | Crowdsourcing Regression: A Spectral Approach. | Yaniv Tenzer, Omer Dror, Boaz Nadler, Erhan Bilal, Yuval Kluger |
| 2022 | ICML | Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm. | Pini Zilber, Boaz Nadler |
| 2020 | ICASSP | Asymptotically Optimal Blind Calibration of Acoustic Vector Sensor Uniform Linear Arrays. | Amir Weiss, Boaz Nadler, Arie Yeredor |
| 2018 | ICLR | SpectralNet: Spectral Clustering using Deep Neural Networks. | Uri Shaham, Kelly P. Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger |
| 2018 | ICML | Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. | Ariel Jaffe, Roi Weiss, Shai Carmi, Yuval Kluger, Boaz Nadler |
| 2017 | AISTATS | Minimax-optimal semi-supervised regression on unknown manifolds. | Amit Moscovich, Ariel Jaffe, Boaz Nadler |
| 2016 | AISTATS | Unsupervised Ensemble Learning with Dependent Classifiers. | Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger |
| 2016 | CVPR | Fast Detection of Curved Edges at Low SNR. | Nati Ofir, Meirav Galun, Boaz Nadler, Ronen Basri |
| 2016 | ICML | A Deep Learning Approach to Unsupervised Ensemble Learning. | Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger |
| 2015 | AISTATS | Estimating the accuracies of multiple classifiers without labeled data. | Ariel Jaffe, Boaz Nadler, Yuval Kluger |
| 2015 | ICML | Learning Parametric-Output HMMs with Two Aliased States. | Roi Weiss, Boaz Nadler |
| 2013 | ICCV | Accurate Blur Models vs. Image Priors in Single Image Super-resolution. | Netalee Efrat, Daniel Glasner, Alexander Apartsin, Boaz Nadler, Anat Levin |
| 2013 | ICML | On learning parametric-output HMMs. | Aryeh Kontorovich, Boaz Nadler, Roi Weiss |
| 2012 | ECCV | Patch Complexity, Finite Pixel Correlations and Optimal Denoising. | Anat Levin, Boaz Nadler, Frdo Durand, William T. Freeman |
| 2012 | UAI | Active Learning with Distributional Estimates. | Jens Rder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht |
| 2011 | CVPR | Natural image denoising: Optimality and inherent bounds. | Anat Levin, Boaz Nadler |
| 2010 | ECCV | Detecting Faint Curved Edges in Noisy Images. | Sharon Alpert, Meirav Galun, Boaz Nadler, Ronen Basri |
| 2010 | ICML | Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. | Matan Gavish, Boaz Nadler, Ronald R. Coifman |
| 2008 | ACSSC | Nonparametric detection of the number of signals and random matrix theory. | Shira Kritchman, Boaz Nadler |
| 2008 | CVPR | 3D shape reconstruction of Mooney faces. | Ira Kemelmacher-Shlizerman, Ronen Basri, Boaz Nadler |