Hisham Husain
12 papers · 2019–2025 · 6 venues · across top CS/AI venues
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(2)
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Keywords
optimal transport
(2)
wasserstein distance
(2)
catastrophic forgetting
(1)
robust optimization
(1)
semi-supervised learning
(1)
adversarial robustness
(1)
policy optimization
(1)
collaborative filtering
(1)
variational inference
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domain adaptation
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fenchel duality
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bayesian inference
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density estimation
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uncertainty quantification
(1)
algorithmic fairness
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semantic segmentation
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robust reinforcement learning
(1)
computational complexity
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risk minimization
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continual learning
(1)
Papers
Geometric Collaborative Filtering with Convergence
AISTATS 2025
Improving the Convergence of Dynamic NeRFs via Optimal Transport
ICLR 2024
Rejection via Learning Density Ratios
NeurIPS 2024
Distributionally Robust Bayesian Optimization with Ο-divergences
NeurIPS 2023
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
ICML 2023
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups
ICCV 2023
Adversarial Interpretation of Bayesian Inference
ALT 2022
Regularized Policies are Reward Robust
AISTATS 2021
Distributional Robustness with IPMs and links to Regularization and GANs
NeurIPS 2020
Local Differential Privacy for Sampling
AISTATS 2020
Optimal Continual Learning has Perfect Memory and is NP-hard
ICML 2020
A Primal-Dual link between GANs and Autoencoders
NeurIPS 2019