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03/04/2022
Distributionally Robust Bayesian Optimization with φ-divergences
The study of robustness has received much attention due to its inevitabi...
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02/16/2021
A Law of Robustness for Weight-bounded Neural Networks
Robustness of deep neural networks against adversarial perturbations is ...
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01/18/2021
Regularized Policies are Reward Robust
Entropic regularization of policies in Reinforcement Learning (RL) is a ...
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12/01/2020
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers
In a recent paper, Celis et al. (2020) introduced a new approach to fair...
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11/28/2020
Risk-Monotonicity in Statistical Learning
Acquisition of data is a difficult task in many applications of machine ...
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06/08/2020
Distributional Robustness with IPMs and links to Regularization and GANs
Robustness to adversarial attacks is an important concern due to the fra...
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02/03/2019
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds
Since the introduction of Generative Adversarial Networks (GANs) and Var...
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06/13/2018