Ron Meir
27 papers · 2003–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8)
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Academic Marathon
(22)
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Cross-Pollinator
(8)
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Renaissance Researcher
(8)
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Keyword Trendsetter Combo
(7)
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Keyword Champion
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Grand Slam
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Century Club
(25)
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Keyword Collector
(134)
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Unstoppable
(8)
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Trend Setter
Conferences
NIPS (10)
ICML (5)
JMLR (4)
AAAI (3)
ACL (1)
AISTATS (1)
ALT (1)
COLT (1)
ICLR (1)
Top co-authors
Keywords
state estimation
(5)
reinforcement learning
(4)
point process
(3)
emergent communication
(3)
optimal filtering
(2)
online learning
(2)
representation learning
(2)
wasserstein distance
(2)
regret bound
(2)
perceptual quality
(2)
temporal difference
(2)
policy gradient
(2)
bayesian inference
(2)
multi-armed bandit
(2)
neural network
(2)
neural coding
(1)
continual learning
(1)
image restoration
(1)
graph laplacian
(1)
unsupervised learning
(1)
Papers
Optimal L2 Regularization in High-dimensional Continual Linear Regression
ALT 2026
Unsupervised Feature Selection Through Group Discovery
AAAI 2026
Unsupervised Translation of Emergent Communication
AAAI 2025
CtD: Composition through Decomposition in Emergent Communication
ICLR 2025
Statistical curriculum learning: An elimination algorithm achieving an oracle risk
COLT 2024
Concept-Best-Matching: Evaluating Compositionality In Emergent Communication
ACL 2024
Meta-Learning Adversarial Bandit Algorithms
NIPS 2023
Emergent Quantized Communication
AAAI 2023
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
NIPS 2023
Metalearning Linear Bandits by Prior Update
AISTATS 2022
Integral Probability Metrics PAC-Bayes Bounds
NIPS 2022
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
NIPS 2021
Ensemble Bootstrapping for Q-Learning
ICML 2021
Option Discovery in the Absence of Rewards with Manifold Analysis
ICML 2020
Discount Factor as a Regularizer in Reinforcement Learning
ICML 2020
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
ICML 2019
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
ICML 2018
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
NIPS 2015
Optimal Neural Codes for Control and Estimation
NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
NIPS 2014
Integrating a Partial Model into Model Free Reinforcement Learning
JMLR 2012
Analytical Results for the Error in Filtering of Gaussian Processes
NIPS 2011
A Convergent Online Single Time Scale Actor Critic Algorithm
JMLR 2010
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
NIPS 2008
A neural network implementing optimal state estimation based on dynamic spike train decoding
NIPS 2007
Generalization Error Bounds for Bayesian Mixture Algorithms
JMLR 2003
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
JMLR 2003