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Alessandro LAZARIC (Facebook AI) – "Exploration-exploitation in reinforcement learning with function approximation"

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 15th of March 2021 Place: Visio Alessandro LAZARIC (Facebook AI) - "Exploration-exploitation in reinforcement learning with function approximation" Abstract: Most of recent reinforcement learning algorithms combine standard dynamic programming algorithms (e.g., value iteration) with advanced function approximation techniques (notably, adapted from deep […]

Csaba SZEPESVARI (University of Alberta) – "Towards Efficient Planning in Large Markov Decision Processes"

Statistical Seminar: Every Monday at 2:00 pm. Time: 4:00 pm - 5:15 pm Date: 29th of March 2021 Place: Visio Csaba SZEPESVARI (University of Alberta) - "Towards Efficient Planning in Large Markov Decision Processes" Abstract: During the last decade reinforcement learning algorithms achieved outcomes far beyond expectations and not only in one area, but in a […]

Bharath SRIPERUMBUDUR (Pennsylvania State University) – "Johnson & Lindenstrauss meet Hilbert at a Kernel "

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 19th of April 2021 Place: Visio Bharath SRIPERUMBUDUR (Pennsylvania State University) - "Johnson & Lindenstrauss meet Hilbert at a Kernel" Abstract: Johnson-Lindenstrauss (J-L) lemma is a famous result about the almost-isometric embeddability of a finite set in Euclidean space into a Euclidean […]

Bodhisattva SEN (Columbia University) – "Multivariate Distribution-free Nonparametric Testing using Optimal Transport "

Statistical Seminar: Every Monday at 2:00 pm. Time: 3:00 pm - 4:15 pm Date: 26th of April 2021 Place: Visio Bodhisattva SEN (Columbia University) - "Multivariate Distribution-free Nonparametric Testing using Optimal Transport" Abstract: We propose a general framework for distribution-free nonparametric testing in multi-dimensions, based on a notion of multivariate ranks defined using the theory of […]

Gabor LUGOSI (Pompeu Fabra University)- "Mean estimation in high dimensions "

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 10th of May 2021 Place: Visio Gabor LUGOSI (Pompeu Fabra University) - "Mean estimation in high dimensions " Abstract: We consider the problem of estimating the mean of a random vector based on independent, identically distributed observations. In particular, we are interested […]

Olivier GUEDON (Université Gustave Eiffel) – "Géométrie de polytopes aléatoires et quelques liens avec le compressed sensing "

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 31th of May 2021 Place: Visio Olivier GUEDON (Université Gustave Eiffel) - "Géométrie de polytopes aléatoires et quelques liens avec le compressed sensing " Abstract: Nous étudierons la géométrie de polytopes aléatoires conv{ X_1, ... , X_N} lorsque les X_i sont des […]

Samory Kpotufe (Columbia University) – "Some Recent Insights on Transfer-Learning"

Statistical Seminar: Every Monday at 2:00 pm. Time: 3:00 pm - 4:15 pm Date: 7th of June 2021 Place: Visio Samory Kpotufe (Columbia University) - "Some Recent Insights on Transfer-Learning" Abstract: A common situation in Machine Learning is one where training data is not fully representative of a target population due to bias in the sampling […]

Jonathan NILES-WEED (NYU) – "The “all-or-nothing” phenomenon in sparse estimation"

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 14th of June 2021 Place: Visio Jonathan NILES-WEED (NYU) - "The "all-or-nothing" phenomenon in sparse estimation" Abstract: We explore a sharp phase transition known as the "all-or-nothing" phenomenon in estimation problems. This phenomenon arises when there exists a critical signal to noise […]

Stanislav Minsker (University of South California) – “Towards robust and efficient mean estimation”

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 6th of September 2021 Place: salle 1001 et en visio Stanislav Minsker (University of South California)  - "Towards robust and efficient mean estimation" Abstract: Several constructions of the estimators of the mean of a random variable that admit sub-Gaussian deviation guarantees and […]