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Contribution List

Displaying 54 contributions out of 54
Session: Afternoon Free
Session: Afternoon Free
Session: Bayesian nonparametrics - I
Session: Bayesian nonparametrics - II
Session: Bayesian nonparametrics - III
Session: Bayesian nonparametrics - IV
Session: Closing Remarks
Session: Convergent and scalable algorithms for expectation propagation approximate Bayesian inference
Session: Exchangeable random partitions, Bayesian inference and species sampling problems
Session: GOING DATA-DRIVEN: From artificial intelligence to science and society
Session: Inferring mesoscopic structure in complex networks with message passing
Session: Introduction to probabilistic and Bayesian inference - I
Session: Introduction to probabilistic and Bayesian inference - II
Session: Introduction to probabilistic and Bayesian inference - III
Session: Introduction to probabilistic and Bayesian inference - IV
Session: Kernel methods - I
Session: Kernel methods - II
Session: Kernel methods - III
Session: Kernel methods - IV
Session: Large scale variational Bayesian inference and decision making for continuous variable models - I
Session: Large scale variational Bayesian inference and decision making for continuous variable models - II
Session: Large scale variational Bayesian inference and decision making for continuous variable models - III
Session: Large scale variational Bayesian inference and decision making for continuous variable models - IV
Session: MAIN LECTURE HALL - LEONDARDO BUILDING COLLOQUIUM "Occam's Razar in Massive Data Acquisition: A statistical Physics Approach"
Session: Machine Learning in systems biology - I
Session: Machine Learning in systems biology - II
Session: Machine Learning in systems biology - III
Session: Machine Learning in systems biology - IV
Session: Network inference for directed graphs with stochastic hidden units
Session: Network reconstruction with hidden nodes
Session: On the first eigenvalue/eigenvector in sparse random symmetric matrices
Session: Opening Remarks
Session: Opening Remarks by Organizers
Session: POSTER SESSION
Session: POSTER SESSION
Session: Perturbative corrections to expectation propagation
Session: Phenomenological study on spatial coupling
Session: Polymer physics for route optimisation on the London underground
Session: Pseudo-likelihood maximization for the protein reconstruction problem
Session: Registration to the Workshop - Adriatico Guest House, lower level 1
Session: Registration to the Workshop for NEW COMERS
Session: Some recent results on the inverse Ising problem
Session: Spatially coupled codes
Session: Stochastic optimal control theory and its link to statistical physics - I
Session: Stochastic optimal control theory and its link to statistical physics - II
Session: Stochastic optimal control theory and its link to statistical physics - III
Session: Stochastic optimal control theory and its link to statistical physics - IV
Session: The Variational Garrote
Session: The challenges and opportunities in using high-throughput data to understand how cells work
Session: Variational methods in inference and optimisation
Session: Variational methods, duality and message-passing - I
Session: Variational methods, duality and message-passing - II
Session: Variational methods, duality and message-passing - III
Session: Variational methods, duality and message-passing - IV

Organizers

H.J. Kappen, M. Opper, R. Zecchina. Local Organiser: M. Marsili