Rasul Tutunov

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 29

Top Topics

Linear Equations

Reinforcement Learning

Degree Distribution

Top Venues

Publications

Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
Online PCA in Converging Self-consistent Field Equations. NeurIPS (2023)
Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar
Lightweight Structural Choices Operator for Technology Mapping. DAC (2023)
Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar
Why Can Large Language Models Generate Correct Chain-of-Thoughts? CoRR (2023)
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR (2022)
Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang
Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS (2022)
Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. CoRR (2022)
Asif Khan, Alexander Imani Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. CoRR (2022)
Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74 (2022)
Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
BOiLS: Bayesian Optimisation for Logic Synthesis. DATE (2022)
Antoine Grosnit, Alexander Imani Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? J. Mach. Learn. Res. 22 (2021)
Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
BOiLS: Bayesian Optimisation for Logic Synthesis. CoRR (2021)
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander Imani Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR (2021)
Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar
Efficient Semi-Implicit Variational Inference. CoRR (2021)
Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar
Compositional ADAM: An Adaptive Compositional Solver. CoRR (2020)
Antoine Grosnit, Alexander Imani Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? CoRR (2020)
Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko
Derivative-Free & Order-Robust Optimisation. AISTATS (2020)
Alexander Imani Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR (2020)
Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana, Haitham Bou-Ammar
αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation. AAMAS (2020)
Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie
Distributed Newton Method for Large-Scale Consensus Optimization. IEEE Trans. Autom. Control. 64 (10) (2019)
Victor Gabillon, Rasul Tutunov, Michal Valko, Haitham Bou-Ammar
Derivative-Free & Order-Robust Optimisation. CoRR (2019)
Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar
Model-Based Stabilisation of Deep Reinforcement Learning. CoRR (2018)
Rasul Tutunov, Dongho Kim, Haitham Bou-Ammar
Distributed Multitask Reinforcement Learning with Quadratic Convergence. NeurIPS (2018)
Rasul Tutunov, Julia El Zini, Haitham Bou-Ammar, Ali Jadbabaie
Distributed lifelong reinforcement learning with sub-linear regret. CDC (2017)
Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie
An exact distributed newton method for reinforcement learning. CDC (2016)
Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie
A Distributed Newton Method for Large Scale Consensus Optimization. CoRR (2016)
Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. CoRR (2015)
Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie
A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations. CoRR (2015)
Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie
Fast, accurate second order methods for network optimization. CDC (2015)
Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. ICML (2015)
Rasul Tutunov, Michael Zargham, Ali Jadbabaie
On convergence rate of Accelerated Dual Descent Algorithm. CDC (2014)
Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie, Eric Eaton
On the Degree Distribution of Pólya Urn Graph Processes. CoRR (2014)
Mohammad Amin Rahimian, Amir Ajorlou, Rasul Tutunov, Amir G. Aghdam
Identifiability of links and nodes in multi-agent systems under the agreement protocol. ACC (2013)