Roni Khardon
17 papers · 2005–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
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Keyword Pioneer
ποΈ
Keyword Collector
(87)
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Trend Setter
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(14)
Artificial Intelligence
(9)
Core AI
(6)
Core Methods
(6)
Mathematics & Optimization
(4)
Learning Types
(4)
Knowledge & Reasoning
(3)
Reinforcement Learning
(3)
Applications
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Mathematics
(3)
Deep Learning
(2)
Models
(2)
Keywords
gaussian process
(5)
variational inference
(5)
probabilistic inference
(2)
latent gaussian model
(2)
belief propagation
(2)
support vector machine
(2)
stochastic planning
(2)
sparse gaussian process
(2)
active learning
(2)
uncertainty quantification
(2)
marginal map
(1)
perceptron algorithm
(1)
pac learning
(1)
markov decision process
(1)
markov decision processes
(1)
online learning
(1)
partially observable markov decision process
(1)
automated planning
(1)
value iteration
(1)
belief state
(1)
Papers
Learning DNF through Generalized Fourier Representations
COLT 2025
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
RSS 2024
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
IJCAI 2023
AK: Attentive Kernel for Information Gathering
RSS 2022
Approximate Inference for Stochastic Planning in Factored Spaces
PGM 2022
Direct Loss Minimization for Sparse Gaussian Processes
AISTATS 2021
Sampling Networks and Aggregate Simulation for Online POMDP Planning
NeurIPS 2019
From Stochastic Planning to Marginal MAP
NeurIPS 2018
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
NeurIPS 2017
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models
AISTATS 2016
Online Symbolic Gradient-Based Optimization for Factored Action MDPs
IJCAI 2016
Sparse Variational Inference for Generalized GP Models
ICML 2015
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
NeurIPS 2013
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions
COLT 2012
Learning Horn Expressions with LOGAN-H
JMLR 2007
Noise Tolerant Variants of the Perceptron Algorithm
JMLR 2007
Maximum Margin Algorithms with Boolean Kernels
JMLR 2005