Husain, Hisham

12 publications

AISTATS 2025 Geometric Collaborative Filtering with Convergence Hisham Husain, Julien Monteil

ICLR 2024 Improving the Convergence of Dynamic NeRFs via Optimal Transport Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel

NeurIPS 2024 Rejection via Learning Density Ratios Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen

NeurIPS 2023 Distributionally Robust Bayesian Optimization with $\varphi$-Divergences Hisham Husain, Vu Nguyen, Anton van den Hengel

ICML 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families Alexander Soen, Hisham Husain, Richard Nock

ICCV 2023 Semi-Supervised Semantic Segmentation Under Label Noise via Diverse Learning Groups Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel

ALT 2022 Adversarial Interpretation of Bayesian Inference Hisham Husain, Jeremias Knoblauch

AISTATS 2021 Regularized Policies Are Reward Robust Hisham Husain, Kamil Ciosek, Ryota Tomioka

NeurIPS 2020 Distributional Robustness with IPMs and Links to Regularization and GANs Hisham Husain

AISTATS 2020 Local Differential Privacy for Sampling Hisham Husain, Borja Balle, Zac Cranko, Richard Nock

ICML 2020 Optimal Continual Learning Has Perfect Memory and Is NP-Hard Jeremias Knoblauch, Hisham Husain, Tom Diethe

NeurIPS 2019 A Primal-Dual Link Between GANs and Autoencoders Hisham Husain, Richard Nock, Robert C. Williamson