Zoltán Szabó: Occasionally I help organizing external seminars at CMAP (see also the ML journal club & Stress Test seminars; activity mostly channeled there). Guests:

Krishnakumar Balasubramanian. Structured Stochastic Zeroth-order Optimization. [Mar. 11]

Lilian Besson. State of the art of Multi-Player Bandits: Theory, Applications and Simulations. [Oct 31]

Subhadeep Mukhopadhyay. Bayesian Modeling via Goodness-of-fit: An Interactive Bayesian Framework That Embraces Both Data and Science. [June 19]

Martin Wainwright. When to stop? A generalized analysis with localized complexities. [June 5]

Claire Monteleoni. Algorithms for Climate Informatics: Learning from spatiotemporal data with both spatial and temporal non-stationarity. [Apr. 10]

Alessandro Rudi. FALKON: An Optimal Large Scale Kernel Method. [Mar. 6]

Marco Cuturi. Generative Models and Optimal Transport. [Jan. 23]

Bharath K. Sriperumbudur [July 3-7]:

• Statistical Consistency of Kernel PCA with Random Features. [July 6]
• Shrinkage Estimation in Reproducing Kernel Hilbert Spaces. [July 4]

Barnabás Póczos:

• Stochastic Variance Reduction for Nonconvex Optimization. [June 23]
• Density Functional Estimation. [June 22]

Florence d'Alché-Buc. Operator-valued Kernel Regression. [June 21]

Romain Brault. Random Fourier Features for Operator-valued kernels. [June 21]

Kirthevasan Kandasamy. Bandit Optimisation with Approximations. [Apr. 27]

David Lopez-Paz. Discovering causation in data. [Apr. 11]

Ming Yuan. Low Rank Tensor Completion. [Mar. 29]

Lorenzo Rosasco. A Regularization View on Stochastic Gradient Methods. [Jan. 31]