Mark Squillante
5 papers · 2019–2022 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (2) π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(15)
Conferences
NIPS (4)
ICML (1)
Top co-authors
Keywords
wasserstein distance
(1)
augmented lagrangian
(1)
stochastic optimization
(1)
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
adversarial robustness
(1)
domain generalization
(1)
optimal transport
(1)
statistical convergence
(1)
distributed learning
(1)
decentralized optimization
(1)
robust reinforcement learning
(1)
formal verification
(1)
multi-agent learning
(1)
value function approximation
(1)
curse of dimensionality
(1)
bilevel optimization
(1)
bellman operator
(1)
model generalization
(1)
Papers
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NIPS 2022
Efficient Generalization with Distributionally Robust Learning
NIPS 2021
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
NIPS 2020
A Family of Robust Stochastic Operators for Reinforcement Learning
NIPS 2019
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
ICML 2019