Hisham Husain

According to our database, Hisham Husain authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geometric Collaborative Filtering with Convergence.

Hisham Husain, Julien Monteil

CoRR, 2024

Rejection via Learning Density Ratios.

Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen

CoRR, 2024

Improving the Convergence of Dynamic NeRFs via Optimal Transport.

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Supervision Improves Diffusion Models for Tabular Data Imputation.

Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Distributionally Robust Bayesian Optimization with φ-divergences.

Hisham Husain, Vu Nguyen, Anton van den Hengel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair Densities via Boosting the Sufficient Statistics of Exponential Families.

Alexander Soen, Hisham Husain, Richard Nock

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Adversarial Interpretation of Bayesian Inference.

Hisham Husain, Jeremias Knoblauch

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021

Regularized Policies are Reward Robust.

Hisham Husain, Kamil Ciosek, Ryota Tomioka

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers.

Alexander Soen, Hisham Husain, Richard Nock

CoRR, 2020

Risk-Monotonicity via Distributional Robustness.

Zakaria Mhammedi, Hisham Husain

CoRR, 2020

Distributional Robustness with IPMs and links to Regularization and GANs.

Hisham Husain

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Continual Learning has Perfect Memory and is NP-hard.

Jeremias Knoblauch, Hisham Husain, Tom Diethe

Proceedings of the 37th International Conference on Machine Learning, 2020

Local Differential Privacy for Sampling.

Hisham Husain, Borja Balle, Zac Cranko, Richard Nock

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds.

Hisham Husain, Richard Nock, Robert C. Williamson

CoRR, 2019

A Primal-Dual link between GANs and Autoencoders.

Hisham Husain, Richard Nock, Robert C. Williamson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Integral Privacy for Density Estimation with Approximation Guarantees.

Hisham Husain, Zac Cranko, Richard Nock

CoRR, 2018