Rasul Tutunov

Alexandre Max Maraval

J. Artif. Intell. Res., 2022

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates.

[BibT_eX]

[DOI]

CoRR, 2022

Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations.

[BibT_eX]

[DOI]

CoRR, 2022

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation.

[BibT_eX]

[DOI]

Mohammad Asif Khan

CoRR, 2022

Optimistic Tree Searches for Combinatorial Black-Box Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BOiLS: Bayesian Optimisation for Logic Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Are We Forgetting about Compositional Optimisers in Bayesian Optimisation?

[BibT_eX]

[DOI]

Antoine Grosnit

J. Mach. Learn. Res., 2021

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

[BibT_eX]

[DOI]

Antoine Grosnit

Alexandre Max Maraval

Ryan-Rhys Griffiths

CoRR, 2021

Efficient Semi-Implicit Variational Inference.

[BibT_eX]

[DOI]

CoRR, 2021

2020

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.

[BibT_eX]

[DOI]

CoRR, 2020

Compositional ADAM: An Adaptive Compositional Solver.

[BibT_eX]

[DOI]

CoRR, 2020

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Derivative-Free & Order-Robust Optimisation.

[BibT_eX]

[DOI]

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

2019

Distributed Newton Method for Large-Scale Consensus Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

2018

Model-Based Stabilisation of Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Distributed Multitask Reinforcement Learning with Quadratic Convergence.

[BibT_eX]

[DOI]

Dongho Kim

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Distributed lifelong reinforcement learning with sub-linear regret.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

An exact distributed newton method for reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations.

[BibT_eX]

[DOI]

CoRR, 2015

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret.

[BibT_eX]

[DOI]

Eric Eaton

Proceedings of the 32nd International Conference on Machine Learning, 2015

Fast, accurate second order methods for network optimization.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

On the Degree Distribution of Pólya Urn Graph Processes.

[BibT_eX]

[DOI]

CoRR, 2014

On convergence rate of Accelerated Dual Descent Algorithm.

[BibT_eX]

[DOI]

Michael Zargham

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Identifiability of links and nodes in multi-agent systems under the agreement protocol.

[BibT_eX]

[DOI]

Mohammad Amin Rahimian

Amir Ajorlou