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Talk1: Prof. Daniel Hernández-Lobato: "Parallel predictive entropy search for multi-objective Bayesian optimization with constraints", Universidad Autónoma de Madrid.

Talk 2: Prof. Anand Sarwate: “Distinguished Lecture: Learning with Structured Tensor Decompositions”, Rutgers University, USA.

Talk 3: Prof. Antonio G. Marques: "Tensor-low rank models for reinforcement learning", Universidad Rey Juan Carlos.

Talk 4: Prof. Tobias Koch: "The Divergence Test for Universal Hypothesis Testing: Beating the Generalized Likelihood Ratio Test", Universidad Carlos III de Madrid.

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