Hisham Husain

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Diffusion Model

Approximation Guarantees

Bayesian Inference

Top Venues

Publications

Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
Rejection via Learning Density Ratios. CoRR (2024)
Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR (2024)
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR (2024)
Alexander Soen, Hisham Husain, Richard Nock
Fair Densities via Boosting the Sufficient Statistics of Exponential Families. ICML (2023)
Hisham Husain, Vu Nguyen, Anton van den Hengel
Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS (2023)
Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV (2023)
Hisham Husain, Jeremias Knoblauch
Adversarial Interpretation of Bayesian Inference. ALT (2022)
Hisham Husain, Vu Nguyen, Anton van den Hengel
Distributionally Robust Bayesian Optimization with φ-divergences. CoRR (2022)
Hisham Husain, Borja Balle
A Law of Robustness for Weight-bounded Neural Networks. CoRR (2021)
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Regularized Policies are Reward Robust. CoRR (2021)
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Regularized Policies are Reward Robust. AISTATS (2021)
Alexander Soen, Hisham Husain, Richard Nock
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. CoRR (2020)
Hisham Husain, Borja Balle, Zac Cranko, Richard Nock
Local Differential Privacy for Sampling. AISTATS (2020)
Hisham Husain
Distributional Robustness with IPMs and links to Regularization and GANs. CoRR (2020)
Jeremias Knoblauch, Hisham Husain, Tom Diethe
Optimal Continual Learning has Perfect Memory and is NP-hard. CoRR (2020)
Zakaria Mhammedi, Hisham Husain
Risk-Monotonicity via Distributional Robustness. CoRR (2020)
Hisham Husain
Distributional Robustness with IPMs and links to Regularization and GANs. NeurIPS (2020)
Jeremias Knoblauch, Hisham Husain, Tom Diethe
Optimal Continual Learning has Perfect Memory and is NP-hard. ICML (2020)
Hisham Husain, Richard Nock, Robert C. Williamson
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds. CoRR (2019)
Hisham Husain, Richard Nock, Robert C. Williamson
A Primal-Dual link between GANs and Autoencoders. NeurIPS (2019)
Hisham Husain, Zac Cranko, Richard Nock
Integral Privacy for Density Estimation with Approximation Guarantees. CoRR (2018)