Gal Elidan
29 papers · 2005–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (9)
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(9)
π§
Keyword Pioneer
πΊ
Lone Wolf
(4)
π
Keyword Trendsetter Combo
(9)
π
Keyword Champion
π§¬
Topic Evolution
π
Century Club
(29)
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(57)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
AISTATS (8)
NIPS (8)
JMLR (5)
ACL (2)
ICLR (2)
COLING (1)
ICCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
graphical model
(9)
bayesian network
(9)
structure learning
(4)
belief propagation
(3)
probabilistic graphical model
(3)
probabilistic modeling
(3)
support vector machine
(3)
sample complexity
(3)
hidden variable
(3)
copula network
(2)
variational inference
(2)
approximate inference
(2)
feature learning
(2)
multivariate distribution
(2)
gaussian copula
(2)
probabilistic inference
(2)
max-margin classification
(2)
missing feature
(2)
structured prediction
(1)
convex optimization
(1)
Papers
Do LLMs have Consistent Values?
ICLR 2025
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
NIPS 2024
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment
ACL 2023
Active learning with label comparisons
UAI 2022
Net-DNF: Effective Deep Modeling of Tabular Data
ICLR 2021
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace
ICCV 2021
Learning Rules-First Classifiers
AISTATS 2019
Globally Optimal Learning for Structured Elliptical Losses
NIPS 2019
Logistic Markov Decision Processes
IJCAI 2017
Scalable Learning of Non-Decomposable Objectives
AISTATS 2017
Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables
AISTATS 2016
Improper Deep Kernels
AISTATS 2016
Dynamic Copula Networks for Modeling Real-valued Time Series
AISTATS 2013
Lightning-speed Structure Learning of Nonlinear Continuous Networks
AISTATS 2012
Copula Network Classifiers (CNCs)
AISTATS 2012
A Diverse Dirichlet Process Ensemble for Unsupervised Induction of Syntactic Categories
COLING 2012
Nonparanormal Belief Propagation (NPNBP)
NIPS 2012
Bagged Structure Learning of Bayesian Network
AISTATS 2011
Copula Bayesian Networks
NIPS 2010
FastInf: An Efficient Approximate Inference Library
JMLR 2010
Shape-Based Object Localization for Descriptive Classification
NIPS 2008
Learning Bounded Treewidth Bayesian Networks
NIPS 2008
Max-margin Classification of Data with Absent Features
JMLR 2008
Learning Bounded Treewidth Bayesian Networks
JMLR 2008
"Ideal Parentβ Structure Learning for Continuous Variable Bayesian Networks
JMLR 2007
Using Combinatorial Optimization within Max-Product Belief Propagation
NIPS 2006
Max-margin classification of incomplete data
NIPS 2006
Learning Hidden Variable Networks: The Information Bottleneck Approach
JMLR 2005