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Hisham Husain

Rejection via Learning Density Ratios

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May 29, 2024
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Distributionally Robust Bayesian Optimization with $φ$-divergences

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Mar 04, 2022
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A Law of Robustness for Weight-bounded Neural Networks

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Mar 12, 2021
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Regularized Policies are Reward Robust

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Jan 18, 2021
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Risk-Monotonicity in Statistical Learning

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Dec 24, 2020
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Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers

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Dec 01, 2020
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Optimal Continual Learning has Perfect Memory and is NP-hard

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Jun 09, 2020
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Distributional Robustness with IPMs and links to Regularization and GANs

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Jun 08, 2020
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Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds

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Feb 03, 2019
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Integral Privacy for Sampling from Mollifier Densities with Approximation Guarantees

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Sep 12, 2018
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