Ofer Meshi
20 papers · 2010–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(103)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory
(13)
Artificial Intelligence
(11)
Core Methods
(10)
Mathematics & Optimization
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Learning Types
(6)
Optimization
(6)
Core AI
(5)
Bayesian & Probabilistic Β· Machine Learning
(4)
Computer Vision
(3)
Analysis
(3)
Data Science & Analytics
(2)
Reinforcement Learning
(2)
Applications
(2)
Keywords
graphical model
(5)
map inference
(5)
linear programming
(4)
structured prediction
(4)
linear programming relaxation
(3)
bayesian optimization
(2)
frank-wolfe algorithm
(2)
lp relaxation
(2)
linear convergence
(2)
convergence rate
(2)
value iteration
(2)
dual decomposition
(2)
integer linear program
(2)
coordinate minimization
(2)
markov decision process
(2)
approximate inference
(2)
bandit algorithm
(2)
probabilistic inference
(1)
belief propagation
(1)
online learning
(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
NeurIPS 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
Advantage Amplification in Slowly Evolving Latent-State Environments
IJCAI 2019
Train and Test Tightness of LP Relaxations in Structured Prediction
JMLR 2019
Deep Structured Prediction with Nonlinear Output Transformations
NeurIPS 2018
Planning and Learning with Stochastic Action Sets
IJCAI 2018
Asynchronous Parallel Coordinate Minimization for MAP Inference
NeurIPS 2017
Logistic Markov Decision Processes
IJCAI 2017
Fast and Scalable Structural SVM with Slack Rescaling
AISTATS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
NeurIPS 2016
Train and Test Tightness of LP Relaxations in Structured Prediction
ICML 2016
Efficient Training of Structured SVMs via Soft Constraints
AISTATS 2015
Smooth and Strong: MAP Inference with Linear Convergence
NeurIPS 2015
Learning Structured Models with the AUC Loss and Its Generalizations
AISTATS 2014
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
NeurIPS 2012
FastInf: An Efficient Approximate Inference Library
JMLR 2010
More data means less inference: A pseudo-max approach to structured learning
NeurIPS 2010