Brendan O'Donoghue
12 papers · 2019–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (24) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Century Club
(12)
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
Conferences
NIPS (8)
ICLR (3)
AAAI (1)
Top co-authors
Keywords
reinforcement learning
(4)
convex optimization
(3)
regret bound
(2)
variational bayesian
(2)
thompson sampling
(2)
bayesian regret
(2)
variational inequality
(1)
fenchel duality
(1)
sample efficiency
(1)
global convergence
(1)
neural network optimization
(1)
continuous optimization
(1)
primal-dual algorithm
(1)
markov decision process
(1)
uncertainty quantification
(1)
optimal policy
(1)
apprenticeship learning
(1)
probabilistic inference
(1)
linear programming
(1)
gradient descent
(1)
Papers
Probabilistic Inference in Reinforcement Learning Done Right
NIPS 2023
Optimistic Meta-Gradients
NIPS 2023
The Neural Testbed: Evaluating Joint Predictions
NIPS 2022
Reward is enough for convex MDPs
NIPS 2021
Variational Bayesian Reinforcement Learning with Regret Bounds
NIPS 2021
Sample Efficient Reinforcement Learning with REINFORCE
AAAI 2021
Discovering a set of policies for the worst case reward
ICLR 2021
Variational Bayesian Optimistic Sampling
NIPS 2021
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
NIPS 2021
Making Sense of Reinforcement Learning and Probabilistic Inference
ICLR 2020
Verification of Non-Linear Specifications for Neural Networks
ICLR 2019
Hamiltonian descent for composite objectives
NIPS 2019