Brendan O'Donoghue
12 papers · 2019–2023 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🧭 Keyword Pioneer
🗃️
Keyword Collector
(59)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Artificial Intelligence
(6)
Reinforcement Learning
(5)
Methods
(5)
Core AI
(4)
Mathematics & Optimization
(3)
Learning Types · Machine Learning
(3)
Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Deep Learning
(1)
Applications
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
reinforcement learning
(5)
convex optimization
(3)
thompson sampling
(3)
bayesian regret
(2)
probabilistic inference
(2)
variational bayesian
(2)
regret bound
(2)
variational inequality
(1)
fenchel duality
(1)
sample efficiency
(1)
global convergence
(1)
model safety
(1)
neural network optimization
(1)
continuous optimization
(1)
gradient descent
(1)
uncertainty quantification
(1)
convex relaxation
(1)
exploration-exploitation tradeoff
(1)
policy gradient
(1)
markov decision process
(1)
Papers
Optimistic Meta-Gradients
NeurIPS 2023
Probabilistic Inference in Reinforcement Learning Done Right
NeurIPS 2023
The Neural Testbed: Evaluating Joint Predictions
NeurIPS 2022
Discovering a set of policies for the worst case reward
ICLR 2021
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
NeurIPS 2021
Reward is enough for convex MDPs
NeurIPS 2021
Sample Efficient Reinforcement Learning with REINFORCE
AAAI 2021
Variational Bayesian Optimistic Sampling
NeurIPS 2021
Variational Bayesian Reinforcement Learning with Regret Bounds
NeurIPS 2021
Making Sense of Reinforcement Learning and Probabilistic Inference
ICLR 2020
Hamiltonian descent for composite objectives
NeurIPS 2019
Verification of Non-Linear Specifications for Neural Networks
ICLR 2019