Factored four way conditional restricted Boltzmann machines for activity recognition von Mocanu, Decebal Constantin, Bou Ammar, Haitham, Lowet, Dietwig, Driessens, Kurt, Liotta, Antonio, Weiss, Gerhard, Tuyls, Karl

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Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines von Mocanu, Decebal Constantin, Bou Ammar, Haitham, Puig, Luis, Eaton, Eric, Liotta, Antonio

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Distributed Newton Method for Large-Scale Consensus Optimization von Tutunov, Rasul, Bou-Ammar, Haitham, Jadbabaie, Ali

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On the prevalence of hierarchies in social networks von Ranjbar-Sahraei, Bijan, Bou Ammar, Haitham, Tuyls, Karl, Weiss, Gerhard

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Reports on the 2018 AAAI Spring Symposium Series von Amato, Christopher, Ammar, Haitham Bou, Churchill, Elizabeth, Karpas, Erez, Kido, Takashi, Kuniavsky, Mike, Lawless, W. F., Oliehoek, Frans A., Rossi, Francesca, Russell, Stephen, Srivastava, Siddharth, Takadama, Keiki, Allen, Philip, Venable, K. Brent, Tuyls, Karl, Vrancx, Peter, Zhang, Shiqi

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Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks von Kicki, Piotr, Liu, Puze, Tateo, Davide, Bou-Ammar, Haitham, Walas, Krzysztof, Skrzypczynski, Piotr, Peters, Jan

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Scalable lifelong reinforcement learning von Zhan, Yusen, Ammar, Haitham Bou, Taylor, Matthew E.

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SAMBA: safe model-based & active reinforcement learning von Cowen-Rivers, Alexander I., Palenicek, Daniel, Moens, Vincent, Abdullah, Mohammed Amin, Sootla, Aivar, Wang, Jun, Bou-Ammar, Haitham

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HEBO: An Empirical Study of Assumptions in Bayesian Optimisation von Cowen-Rivers, Alexander I., Lyu, Wenlong, Tutunov, Rasul, Wang, Zhi, Grosnit, Antoine, Griffiths, Ryan Rhys, Maraval, Alexandre Max, Jianye, Hao, Wang, Jun, Peters, Jan, Bou-Ammar, Haitham

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HEBO: Pushing The Limits of Sample-Efficient Hyper-parameter Optimisation von Cowen-Rivers, Alexander I, Lyu, Wenlong, Tutunov, Rasul, Wang, Zhi, Grosnit, Antoine, Griffiths, Ryan Rhys, Maraval, Alexandre Max, Hao Jianye, Wang, Jun, Peters, Jan, Bou-Ammar, Haitham

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Toward real-world automated antibody design with combinatorial Bayesian optimization von Khan, Asif, Cowen-Rivers, Alexander I., Grosnit, Antoine, Deik, Derrick-Goh-Xin, Robert, Philippe A., Greiff, Victor, Smorodina, Eva, Rawat, Puneet, Akbar, Rahmad, Dreczkowski, Kamil, Tutunov, Rasul, Bou-Ammar, Dany, Wang, Jun, Storkey, Amos, Bou-Ammar, Haitham

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Nonconvex Policy Search Using Variational Inequalities von Zhan, Yusen, Ammar, Haitham Bou, Taylor, Matthew E.

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Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines von Decebal Constantin Mocanu, Haitham Bou Ammar, Puig, Luis, Eaton, Eric, Liotta, Antonio

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Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information von Tutnov, Rasul, Grosnit, Antoine, Bou-Ammar, Haitham

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Reports on the 2018 AAAI Spring Symposium Series von Amato, Christopher, Ammar, Haitham Bou, Churchill, Elizabeth, Karpas, Erez, Kido, Takashi, Kuniavsky, Mike, Lawless, W.F, Oliehoek, Frans A, Rossi, Francesca, Russell, Stephen, Srivastava, Siddharth, Takadama, Keiki, van Allen, Philip, Venable, K. Brent, Tuyls, Karl, Vrancx, Peter, Zhang, Shiqi

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Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? von Ziomek, Juliusz, Bou-Ammar, Haitham

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Correctness-by-Learning of Infinite-State Component-Based Systems von Bou-Ammar, Haitham, Jaber, Mohamad, Nassar, Mohamad

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Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization von Dreczkowski, Kamil, Grosnit, Antoine, Ammar, Haitham Bou

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Contextual Causal Bayesian Optimisation von Arsenyan, Vahan, Grosnit, Antoine, Bou-Ammar, Haitham

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Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications von Liu, Puze, Bou-Ammar, Haitham, Peters, Jan, Tateo, Davide

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