Ofer Meshi
20 papers · 2010–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (5)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(100)
π
Trend Setter
π
Century Club
(19)
π₯
Unstoppable
(6)
Conferences
NIPS (7)
AISTATS (5)
IJCAI (4)
JMLR (2)
EACL (1)
ICML (1)
Top co-authors
Keywords
map inference
(5)
graphical model
(4)
linear programming
(4)
structured prediction
(4)
linear programming relaxation
(3)
approximate inference
(2)
frank-wolfe algorithm
(2)
coordinate minimization
(2)
markov decision process
(2)
bandit algorithm
(2)
bayesian optimization
(2)
integer linear program
(2)
lp relaxation
(2)
linear convergence
(2)
dual decomposition
(2)
value iteration
(2)
uncertainty quantification
(1)
probabilistic inference
(1)
belief propagation
(1)
logistic regression
(1)
Papers
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders
EACL 2026
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
NIPS 2024
Model-Free Preference Elicitation
IJCAI 2024
Overcoming Prior Misspecification in Online Learning to Rank
AISTATS 2023
On the Value of Prior in Online Learning to Rank
AISTATS 2022
Train and Test Tightness of LP Relaxations in Structured Prediction
JMLR 2019
Advantage Amplification in Slowly Evolving Latent-State Environments
IJCAI 2019
Deep Structured Prediction with Nonlinear Output Transformations
NIPS 2018
Planning and Learning with Stochastic Action Sets
IJCAI 2018
Logistic Markov Decision Processes
IJCAI 2017
Asynchronous Parallel Coordinate Minimization for MAP Inference
NIPS 2017
Train and Test Tightness of LP Relaxations in Structured Prediction
ICML 2016
Fast and Scalable Structural SVM with Slack Rescaling
AISTATS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
NIPS 2016
Efficient Training of Structured SVMs via Soft Constraints
AISTATS 2015
Smooth and Strong: MAP Inference with Linear Convergence
NIPS 2015
Learning Structured Models with the AUC Loss and Its Generalizations
AISTATS 2014
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
NIPS 2012
More data means less inference: A pseudo-max approach to structured learning
NIPS 2010
FastInf: An Efficient Approximate Inference Library
JMLR 2010