Mark Squillante
5 papers · 2019–2022 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
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Research topics
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
NeurIPS 2022
Efficient Generalization with Distributionally Robust Learning
NeurIPS 2021
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
NeurIPS 2020
A Family of Robust Stochastic Operators for Reinforcement Learning
NeurIPS 2019
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
ICML 2019