Alistair Shilton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2005–2023
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space. | Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2022 | AAAI | TRF: Learning Kernels with Tuned Random Features. | Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh |
| 2020 | AAAI | Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. | Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh |
| 2020 | AISTATS | Accelerated Bayesian Optimisation through Weight-Prior Tuning. | Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak |
| 2018 | AISTATS | Exploiting Strategy-Space Diversity for Batch Bayesian Optimization. | Sunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh |
| 2018 | ICPR | Expected Hypervolume Improvement with Constraints. | Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2018 | UAI | Multi-Target Optimisation via Bayesian Optimisation and Linear Programming. | Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2017 | AISTATS | Regret Bounds for Transfer Learning in Bayesian Optimisation. | Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2017 | IJCAI | High Dimensional Bayesian Optimization using Dropout. | Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton |
| 2012 | IJCNN | Automatic detection of different walking conditions using inertial sensor data. | Braveena K. Santhiranayagam, Daniel T. H. Lai, Cancan Jiang, Alistair Shilton, Rezaul K. Begg |
| 2012 | IJCNN | The conic-segmentation support vector machine - a target space method for multiclass classification. | Alistair Shilton, Daniel T. H. Lai, Marimuthu Palaniswami |
| 2007 | CIBCB | Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression. | Jayavardhana Gubbi, Alistair Shilton, Marimuthu Palaniswami, Michael Parker |
| 2007 | IJCNN | Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation. | Alistair Shilton, Daniel T. H. Lai |
| 2005 | IJCNN | A convergence rate estimate for the SVM decomposition method. | Daniel T. H. Lai, Alistair Shilton, Nallasamy Mani, Marimuthu Palaniswami |