Boaz Nadler
21 papers · 1999–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Champion
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Keyword Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Keyword Collector
(113)
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Conference Pioneer
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Research topics
Machine Learning
(17)
Core Methods
(16)
Learning Types
(9)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Computer Vision
(4)
Optimization
(4)
Processing
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Architectures
(2)
Mathematics
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Keywords
spectral method
(4)
unsupervised learning
(3)
spectral clustering
(3)
support vector machine
(2)
sparse classification
(2)
semi-supervised learning
(2)
deep neural network
(2)
parameter estimation
(2)
kernel methods
(2)
hidden markov model
(2)
unlabeled data
(2)
manifold regularization
(1)
statistical analysis
(1)
graph clustering
(1)
graph laplacian
(1)
image segmentation
(1)
learning theory
(1)
theoretical limitations
(1)
budget-aware learning
(1)
compressed sensing
(1)
Papers
Recovery Guarantees for Distributed-OMP
AISTATS 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
NeurIPS 2024
Truth is Universal: Robust Detection of Lies in LLMs
NeurIPS 2024
Imbalanced Mixed Linear Regression
NeurIPS 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
NeurIPS 2017
A Deep Learning Approach to Unsupervised Ensemble Learning
ICML 2016
Fast Detection of Curved Edges at Low SNR
CVPR 2016
Unsupervised Ensemble Learning with Dependent Classifiers
AISTATS 2016
Estimating the accuracies of multiple classifiers without labeled data
AISTATS 2015
Learning Parametric-Output HMMs with Two Aliased States
ICML 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
NeurIPS 2009
Universal Kernel-Based Learning with Applications to Regular Languages
JMLR 2009
Fundamental Limitations of Spectral Clustering
NeurIPS 2006
Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data
AISTATS 1999