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

2021:
Krishnakumar Balasubramanian. Structured Stochastic Zeroth-order Optimization. [Mar. 11]
2018:
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]
2017:
Bharath K. Sriperumbudur [July 3-7]:
Barnabás Póczos:
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]