Shilton, Alistair

15 publications

NeurIPS 2025 Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh

ECML-PKDD 2024 Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh

ECML-PKDD 2024 PINN-BO: A Black-Box Optimization Algorithm Using Physics-Informed Neural Networks Dat Phan-Trong, Hung The Tran, Alistair Shilton, Sunil Gupta

ICML 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh

NeurIPS 2022 Human-AI Collaborative Bayesian Optimisation A V Arun Kumar, Santu Rana, Alistair Shilton, Svetha Venkatesh

AAAI 2022 TRF: Learning Kernels with Tuned Random Features Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh

NeurIPS 2021 Kernel Functional Optimisation Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh

AISTATS 2020 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

AAAI 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh

JMLR 2020 Multiclass Anomaly Detector: The CS++ Support Vector Machine Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami

NeurIPS 2019 Multi-Objective Bayesian Optimisation with Preferences over Objectives Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh

AISTATS 2018 Exploiting Strategy-Space Diversity for Batch Bayesian Optimization Sunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh

UAI 2018 Multi-Target Optimisation via Bayesian Optimisation and Linear Programming Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh

IJCAI 2017 High Dimensional Bayesian Optimization Using Dropout Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton

AISTATS 2017 Regret Bounds for Transfer Learning in Bayesian Optimisation Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh