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Rémi FLAMARY (CMAP) – " CO-Optimal Transport : Optimal Transport across non registered space "

The Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 19th of October 2020 Place: Visio Rémi FLAMARY (CMAP) - " CO-Optimal Transport : Optimal Transport across non registered space " Abstract: Optimal transport (OT) is a powerful geometric and probabilistic tool for finding correspondences and measuring similarity between two distributions. Yet, […]

Yuhao WANG (Tsinghua University) – " Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders "

The Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 2nd of November 2020 Place: Visio Yuhao WANG (Tsinghua University) - " Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders" Abstract: We consider estimation of average treatment effects given observational data with high-dimensional pretreatment variables. Existing […]

Aaditya RAMDAS (Carnegie Mellon University) – " Dimension-agnostic inference "

The Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 16th of November 2020 Place: Visio Aaditya RAMDAS (Carnegie Mellon University) - " Dimension-agnostic inference " Abstract: Classical asymptotic theory for statistical hypothesis testing, for example Wilks' theorem for likelihood ratios, usually involves calibrating the test statistic by fixing the dimension d […]

Matthieu LERASLE (CNRS-ENSAE-CREST) – "Optimal Change-Point Detection and Localization"

The Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 30th of November 2020 Place: Visio Matthieu LERASLE (CNRS-ENSAE-CREST) - "Optimal Change-Point Detection and Localization" Abstract: Given a times series Y in R n, with a piece-wise contant mean and independent components, the twin problems of change-point detection and change-point localization respectively amount […]

Nicolas SCHREUDER (CREST) – "A minimax framework for quantifying risk-fairness trade-off in regression"

The Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 11th of January 2021 Place: Visio Nicolas SCHREUDER (CREST) - "A minimax framework for quantifying risk-fairness trade-off in regression" Abstract: A theoretical framework is proposed for the problem of learning a real-valued function which meets fairness requirements. This framework is built upon […]

Mayya ZHILOVA (Georgia Institute of Technology) – "Higher-order accuracy of the bootstrap and the normal approximation on the set of all Euclidean balls"

The Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 18th of January 2021 Place: Visio Mayya ZHILOVA (Georgia Institute of Technology) - "Higher-order accuracy of the bootstrap and the normal approximation on the set of all Euclidean balls" Abstract: In this talk I would like to discuss the problem of establishing […]

Pierre ALQUIER (RIKEN, Tokyo) – "Parametric estimation via MMD optimization: robustness to outliers and dependence"

The Statistical Seminar: Every Monday at 2:00 pm. Time: 11:00 pm - 12:15 pm EXCEPTIONALLY Date: 1st of February 2021 Place: Visio Pierre ALQUIER (RIKEN, Tokyo) - "Parametric estimation via MMD optimization: robustness to outliers and dependence" Abstract: In  this  talk,  I  will  study  the  properties  of  parametric  estimators  based  on  the  Maximum Mean Discrepancy (MMD) defined […]

Jiantao JIAO (UC Berkeley) – "Sharp Minimax Rates for Imitation Learning"

The Statistical Seminar: Every Monday at 2:00 pm. Time: 5:00 pm - 6:15 pm Exceptionally Date: 15th of February 2021 Place: Visio Jiantao JIAO (UC Berkeley) - "Sharp Minimax Rates for Imitation Learning" Abstract: We establish sharp minimax bounds on Imitation Learning (IL) in episodic Markov Decision Processes (MDPs) with a state space S. We focus on […]

Gabriel PEYRÉ (CNRS, ENS) – "Scaling Optimal Transport for High dimensional Learning "

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 1st of March 2021 Place: Visio Gabriel PEYRÉ (CNRS, ENS) - "Scaling Optimal Transport for High dimensional Learning " Abstract: Optimal transport (OT) has recently gained lot of interest in machine learning. It is a natural tool to compare in a geometrically […]

Matteo PIROTTA (Facebook AI) – "Introduction to exploration-exploitation in reinforcement learning "

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 8th of March 2021 Place: Visio Matteo PIROTTA (Facebook AI) - "Introduction to exploration-exploitation in reinforcement learning " Abstract: One of the major challenges in online reinforcement learning (RL) is to trade off between exploration of the environment to gather information and […]

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 […]