Jonathan P How
6 papers · 2013–2022 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Bronze
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Keyword Pioneer
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Trend Setter
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Keyword Collector
(58)
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Core AI
(3)
Learning Types
(3)
Methods
(3)
Core Methods
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Learning Paradigms
(1)
Keywords
dirichlet process mixture
(2)
bayesian nonparametric model
(2)
reinforcement learning
(2)
bayesian nonparametrics
(2)
dirichlet process
(1)
sample complexity
(1)
multi-agent reinforcement learning
(1)
policy optimization
(1)
adversarial robustness
(1)
variational inference
(1)
k-means clustering
(1)
multivariate gaussian
(1)
online learning
(1)
high-dimensional inference
(1)
asymptotic analysis
(1)
markov decision process
(1)
message passing
(1)
mutual information
(1)
value function
(1)
nonparametric bayesian
(1)
Papers
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
NeurIPS 2022
Certified Adversarial Robustness for Deep Reinforcement Learning
CoRL 2019
Improving PAC Exploration Using the Median Of Means
NeurIPS 2016
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
NeurIPS 2015
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
NeurIPS 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances
NeurIPS 2013