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ORCIDRasul Tutunov
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2020 – today
- 2023
[c13]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: 1-6- [c12]Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang:
Online PCA in Converging Self-consistent Field Equations. NeurIPS 2023 - [i16]Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar:
Why Can Large Language Models Generate Correct Chain-of-Thoughts? CoRR abs/2310.13571 (2023) - 2022
- [j3]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: 1269-1349 (2022) - [c11]Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar:
BOiLS: Bayesian Optimisation for Logic Synthesis. DATE 2022: 1193-1196 - [c10]Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang:
Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS 2022 - [i15]Mohammad Asif Khan, Alexander I. 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 abs/2201.12570 (2022) - [i14]Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang:
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. CoRR abs/2202.01388 (2022) - [i13]Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar:
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR abs/2205.13902 (2022) - 2021
- [j2]Antoine Grosnit, Alexander I. 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: 160:1-160:78 (2021) - [i12]Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar:
Efficient Semi-Implicit Variational Inference. CoRR abs/2101.06070 (2021) - [i11]Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. 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 abs/2106.03609 (2021) - [i10]Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar:
BOiLS: Bayesian Optimisation for Logic Synthesis. CoRR abs/2111.06178 (2021) - 2020
- [c9]Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko:
Derivative-Free & Order-Robust Optimisation. AISTATS 2020: 2293-2303 - [c8]Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana, Haitham Bou-Ammar:
αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation. AAMAS 2020: 1575-1583 - [i9]Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar:
Compositional ADAM: An Adaptive Compositional Solver. CoRR abs/2002.03755 (2020) - [i8]Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR abs/2012.03826 (2020) - [i7]Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar:
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? CoRR abs/2012.08240 (2020)
2010 – 2019
- 2019
- [j1]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie:
Distributed Newton Method for Large-Scale Consensus Optimization. IEEE Trans. Autom. Control. 64(10): 3983-3994 (2019) - [i6]Victor Gabillon, Rasul Tutunov, Michal Valko, Haitham Bou-Ammar:
Derivative-Free & Order-Robust Optimisation. CoRR abs/1910.04034 (2019) - 2018
- [c7]Rasul Tutunov, Dongho Kim, Haitham Bou-Ammar:
Distributed Multitask Reinforcement Learning with Quadratic Convergence. NeurIPS 2018: 8921-8930 - [i5]Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar:
Model-Based Stabilisation of Deep Reinforcement Learning. CoRR abs/1809.01906 (2018) - 2017
- [c6]Rasul Tutunov, Julia El Zini, Haitham Bou-Ammar, Ali Jadbabaie:
Distributed lifelong reinforcement learning with sub-linear regret. CDC 2017: 2254-2259 - 2016
- [c5]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie:
An exact distributed newton method for reinforcement learning. CDC 2016: 1003-1008 - [i4]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie:
A Distributed Newton Method for Large Scale Consensus Optimization. CoRR abs/1606.06593 (2016) - 2015
- [c4]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie:
Fast, accurate second order methods for network optimization. CDC 2015: 706-711 - [c3]Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton:
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. ICML 2015: 2361-2369 - [i3]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie:
A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations. CoRR abs/1502.03158 (2015) - [i2]Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton:
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. CoRR abs/1505.05798 (2015) - 2014
- [c2]Rasul Tutunov, Michael Zargham, Ali Jadbabaie:
On convergence rate of Accelerated Dual Descent Algorithm. CDC 2014: 179-184 - [i1]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie, Eric Eaton:
On the Degree Distribution of Pólya Urn Graph Processes. CoRR abs/1410.8515 (2014) - 2013
- [c1]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: 6853-6858
Coauthor Index
aka: Haitham Ammar
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