Paul Rolland
10 papers · 2018–2022 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (21) 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 👑 Triple Crown
🤝
Dynamic Duo
(10)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Mathematics & Optimization
(3)
Bayesian & Probabilistic
(3)
Core AI
(3)
Optimization
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Methods
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
lipschitz constant
(2)
langevin dynamics
(2)
semidefinite programming
(1)
neural network training
(1)
adversarial training
(1)
convex optimization
(1)
latent dirichlet allocation
(1)
message passing
(1)
causal discovery
(1)
sample complexity
(1)
bayesian inference
(1)
robust reinforcement learning
(1)
neural network optimization
(1)
inverse reinforcement learning
(1)
adversarial robustness
(1)
intrinsic dimension
(1)
gibbs sampling
(1)
rademacher complexity
(1)
reward function
(1)
stochastic optimization
(1)
Papers
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
NeurIPS 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
NeurIPS 2021
Double-Loop Unadjusted Langevin Algorithm
ICML 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
ICML 2020
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
ICLR 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
NeurIPS 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
NeurIPS 2018