Saharon Rosset
12 papers · 2004–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(4)
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Keyword Champion
(3)
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Keyword Pioneer
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Keyword Collector
(66)
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Trend Setter
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(10)
Optimization & Theory
(6)
Deep Learning
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Optimization
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Learning Types Β· Machine Learning
(1)
Keywords
random effect
(3)
correlated data
(2)
mixed model
(2)
support vector machine
(2)
isotonic regression
(2)
model selection
(2)
deep neural network
(2)
convex optimization
(1)
large-scale optimization
(1)
risk management
(1)
maximum likelihood
(1)
cross validation
(1)
support vector regression
(1)
expectation propagation
(1)
sample complexity
(1)
binary classification
(1)
maximum margin
(1)
bias correction
(1)
maximum likelihood estimation
(1)
supervised learning
(1)
Papers
Cross Validation for Correlated Data in Classification Models
AISTATS 2025
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
AISTATS 2025
Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
ICML 2025
Integrating Random Effects in Deep Neural Networks
JMLR 2023
Tree-Based Models for Correlated Data
JMLR 2022
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
NeurIPS 2021
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
JMLR 2019
The Everlasting Database: Statistical Validity at a Fair Price
NeurIPS 2018
Decomposing Isotonic Regression for Efficiently Solving Large Problems
NeurIPS 2010
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression
JMLR 2009
Boosting as a Regularized Path to a Maximum Margin Classifier
JMLR 2004
The Entire Regularization Path for the Support Vector Machine
JMLR 2004