Saharon Rosset
12 papers · 2004–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (21) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (13)
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Hot Topic Early Bird
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🌟
Keyword Trendsetter Combo
(4)
🏆
Keyword Champion
📈
Trend Setter
💎
Century Club
(12)
🗃️
Keyword Collector
(52)
Conferences
JMLR (6)
NIPS (3)
AISTATS (2)
ICML (1)
Top co-authors
Keywords
correlated datum
(2)
random effect
(2)
deep neural network
(2)
support vector machine
(2)
convex optimization
(1)
supervised learning
(1)
risk management
(1)
maximum likelihood
(1)
large-scale optimization
(1)
cross validation
(1)
support vector regression
(1)
expectation propagation
(1)
gradient boosting
(1)
maximum margin
(1)
query complexity
(1)
isotonic regression
(1)
network flow
(1)
gaussian process classification
(1)
regularization path
(1)
maximum likelihood estimation
(1)
Papers
Cross Validation for Correlated Data in Classification Models
AISTATS 2025
Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
ICML 2025
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
AISTATS 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
NIPS 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
NIPS 2018
Decomposing Isotonic Regression for Efficiently Solving Large Problems
NIPS 2010
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression
JMLR 2009
The Entire Regularization Path for the Support Vector Machine
JMLR 2004
Boosting as a Regularized Path to a Maximum Margin Classifier
JMLR 2004