Boaz Nadler
20 papers · 2006–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Conference Polyglot (7)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Keyword Champion
ποΈ
Keyword Collector
(106)
π
Trend Setter
π
Century Club
(20)
π
Conference Pioneer
Conferences
NIPS (6)
ICML (5)
AISTATS (4)
JMLR (2)
CVPR (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
spectral method
(4)
unsupervised learning
(3)
semi-supervised learning
(2)
spectral clustering
(2)
parameter estimation
(2)
support vector machine
(2)
kernel methods
(2)
sparse classification
(2)
hidden markov model
(2)
unlabeled datum
(2)
mixed linear regression
(1)
clustering analysis
(1)
graph clustering
(1)
feature selection
(1)
orthogonal matching pursuit
(1)
manifold regularization
(1)
image reconstruction
(1)
image segmentation
(1)
communication complexity
(1)
laplacian regularization
(1)
Papers
Recovery Guarantees for Distributed-OMP
AISTATS 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
NIPS 2024
Truth is Universal: Robust Detection of Lies in LLMs
NIPS 2024
Imbalanced Mixed Linear Regression
NIPS 2023
Crowdsourcing Regression: A Spectral Approach
AISTATS 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
ICML 2022
Beyond Trees: Classification with Sparse Pairwise Dependencies
JMLR 2020
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
ICML 2018
SpectralNet: Spectral Clustering using Deep Neural Networks
ICLR 2018
Cost efficient gradient boosting
NIPS 2017
Fast Detection of Curved Edges at Low SNR
CVPR 2016
Unsupervised Ensemble Learning with Dependent Classifiers
AISTATS 2016
A Deep Learning Approach to Unsupervised Ensemble Learning
ICML 2016
Learning Parametric-Output HMMs with Two Aliased States
ICML 2015
Estimating the accuracies of multiple classifiers without labeled data
AISTATS 2015
Accurate Blur Models vs. Image Priors in Single Image Super-resolution
ICCV 2013
On learning parametric-output HMMs
ICML 2013
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
NIPS 2009
Universal Kernel-Based Learning with Applications to Regular Languages
JMLR 2009
Fundamental Limitations of Spectral Clustering
NIPS 2006