Paul Rolland
10 papers · 2018–2022 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (4) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Cross-Pollinator (11)
๐บ๏ธ
Taxonomy Completionist
(20)
๐
Conference Polyglot
(4)
๐ค
Dynamic Duo
(10)
๐
Triple Crown
๐ฅ
Unstoppable
(5)
๐
Century Club
(10)
Conferences
ICML (4)
NIPS (4)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
langevin dynamics
(2)
convex optimization
(1)
latent dirichlet allocation
(1)
neural network training
(1)
robust reinforcement learning
(1)
bayesian inference
(1)
adversarial robustness
(1)
causal discovery
(1)
sample complexity
(1)
adversarial training
(1)
stochastic optimization
(1)
neural network optimization
(1)
inverse reinforcement learning
(1)
message passing
(1)
intrinsic dimension
(1)
gibbs sampling
(1)
rademacher complexity
(1)
reward function
(1)
mirror descent
(1)
wasserstein distance
(1)
Papers
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
NIPS 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
ICML 2022
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
NIPS 2021
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
ICLR 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
NIPS 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
ICML 2020
Double-Loop Unadjusted Langevin Algorithm
ICML 2020
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
ICML 2019
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
AISTATS 2018
Mirrored Langevin Dynamics
NIPS 2018