Hisham Husain - RankMe

25 papers A* 8A 4B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Seasoning Generative Models for a Generalization Aftertaste. CoRR Hisham Husain, Valentin De Bortoli, Richard Nock
2025	A	`conf`	Geometric Collaborative Filtering with Convergence. AISTATS Hisham Husain, Julien Monteil
2024	J	`jnl`	Geometric Collaborative Filtering with Convergence. CoRR Hisham Husain, Julien Monteil
2024	A*	`conf`	Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel
2024	A*	`conf`	Rejection via Learning Density Ratios. NeurIPS Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
2024	J	`jnl`	Rejection via Learning Density Ratios. CoRR Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
2024	A	`conf`	Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CIKM Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
2024	J	`jnl`	Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
2023	A*	`conf`	Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS Hisham Husain, Vu Nguyen, Anton van den Hengel
2023	A*	`conf`	Fair Densities via Boosting the Sufficient Statistics of Exponential Families. ICML Alexander Soen, Hisham Husain, Richard Nock
2023	A*	`conf`	Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel
2022	B	`conf`	Adversarial Interpretation of Bayesian Inference. ALT Hisham Husain, Jeremias Knoblauch
2022	J	`jnl`	Distributionally Robust Bayesian Optimization with φ-divergences. CoRR Hisham Husain, Vu Nguyen, Anton van den Hengel
2021	A	`conf`	Regularized Policies are Reward Robust. AISTATS Hisham Husain, Kamil Ciosek, Ryota Tomioka
2021	J	`jnl`	Regularized Policies are Reward Robust. CoRR Hisham Husain, Kamil Ciosek, Ryota Tomioka
2020	J	`jnl`	Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. CoRR Alexander Soen, Hisham Husain, Richard Nock
2020	A*	`conf`	Distributional Robustness with IPMs and links to Regularization and GANs. NeurIPS Hisham Husain
2020	J	`jnl`	Distributional Robustness with IPMs and links to Regularization and GANs. CoRR Hisham Husain
2020	A	`conf`	Local Differential Privacy for Sampling. AISTATS Hisham Husain, Borja Balle, Zac Cranko, Richard Nock
2020	A*	`conf`	Optimal Continual Learning has Perfect Memory and is NP-hard. ICML Jeremias Knoblauch, Hisham Husain, Tom Diethe
2020	J	`jnl`	Optimal Continual Learning has Perfect Memory and is NP-hard. CoRR Jeremias Knoblauch, Hisham Husain, Tom Diethe
2020	J	`jnl`	Risk-Monotonicity via Distributional Robustness. CoRR Zakaria Mhammedi, Hisham Husain
2019	A*	`conf`	A Primal-Dual link between GANs and Autoencoders. NeurIPS Hisham Husain, Richard Nock, Robert C. Williamson
2019	J	`jnl`	Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds. CoRR Hisham Husain, Richard Nock, Robert C. Williamson
2018	J	`jnl`	Integral Privacy for Density Estimation with Approximation Guarantees. CoRR Hisham Husain, Zac Cranko, Richard Nock