Program

09:30-10:00 Welcome
10:00-10:45 Talk 1: Prof. Daniel Hernández-Lobato: "Parallel predictive entropy search for multi-objective Bayesian optimization with constraints",  Universidad  Autónoma de Madrid.
10:45-11:15 Coffee Break
11:15-12:30 Talk 2: Prof. Anand Sarwate: “Distinguished Lecture: Learning with Structured Tensor Decompositions”, Rutgers University, USA.
12:30-13:15 Talk 3: Prof. Antonio G. Marques: "Tensor-low rank models for reinforcement learning", Universidad Rey Juan Carlos.
13:15-15:15 Lunch
15:15-16:00 Talk 4: Prof. Tobias Koch: "The Divergence Test for Universal Hypothesis Testing: Beating the Generalized Likelihood Ratio Test", Universidad Carlos III de Madrid.
16:00-18:00 Poster session
18:00 Closure