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Julien CHHOR et Flore SENTENAC (ENSAE-CREST) – “Robust estimation of discrete distributions under local differential privacy “

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 28th of March 2022 Place: Amphi 200 Julien CHHOR et Flore SENTENAC (ENSAE-CREST) - "Robust estimation of discrete distributions under local differential privacy" Abstract: Although robust learning and local differential privacy are both widely studied fields of research, combining the two settings […]

Mohamed (Simo) NDAOUD (ESSEC-CREST) – “Variable selection, monotone likelihood ratio and group sparsity “

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 4th of April 2022 Place: Amphi 200 Mohamed (Simo) NDAOUD (ESSEC-CREST) - "Variable selection, monotone likelihood ratio and group sparsity " Abstract: In the pivotal variable selection problem, we derive the ex- act non-asymptotic minimax selector over the class of all s-sparse […]

Guillaume LECUÉ (CREST) – “A geometrical viewpoint on the benign overfitting property of the minimum l_2-norm interpolant estimator “

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 2nd of May 2022 Place: salle 3001 Guillaume LECUÉ (CREST) - "A geometrical viewpoint on the benign overfitting property of the minimum l_2-norm interpolant estimator" Abstract: Practitioners have observed that some deep learning models generalize well even with a perfect fit to […]

Philippe Rigollet (MIT) – “Variational inference via Wasserstein gradient flows”

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 9th of May 2022 Place: Amphi 200 Philippe RIGOLLET (MIT) - "Variational inference via Wasserstein gradient flows" Abstract: Bayesian methodology typically generates a high-dimensional posterior distribution that is known only up to normalizing constants, making the computation even of simple summary statistics […]

Jannis KUECK (Universität Hamburg) “Estimation and Inference of Treatment Effects with L2-Boosting in High-Dimensional Settings”

The Economics and Statistics  Seminar: Time: 14:00 pm - 15.15 pm Date: 12 th of May 2022 Room 3001 Jannis KUECK (Universität Hamburg) "Estimation and Inference of Treatment Effects with L2-Boosting in High-Dimensional Settings" Abstract : Empirical researchers are increasingly faced with rich data sets containing many controls or instrumental variables, making it essential to […]

Maxim Panov (Skoltech)- “Optimal estimation in Mixed-Membership Stochastic Block Models “

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 23th of May 2022 Place: salle 3001 Maxim Panov (Skoltech) - "Optimal estimation in Mixed-Membership Stochastic Block Models" Abstract: Community detection is one of the central problems in modern network science. It has numerous applications in the analysis of social and biological […]

Subhro GHOSH (National University of Singapore ) – “The unreasonable effectiveness of determinantal processes”

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 30th of May 2022 Place: Amphi 200 Subhro GHOSH (National University of Singapore ) - "The unreasonable effectiveness of determinantal processes" Abstract: In 1960, Wigner published an article famously titled "The Unreasonable Effectiveness of Mathematics in the Natural Sciences”. In this talk […]

Charles MARGOSSIAN (Columbia) – “Nested $\hat R$: Assessing the convergence of Markov chains Monte Carlo when running many short chains”

Statistical Seminar:  Time: 2:00 pm -2.45pm Date: 07th of July 2022 Place: Room 3001 Charles MARGOSSIAN (Columbia)  - "Nested $\hat R$: Assessing the convergence of Markov chains Monte Carlo when running many short chains" Abstract: The growing availability of hardware accelerators, such as GPUs, has generated interest in MCMC strategies where we run many chains […]

Mathieu GERBER (Bristol University) ” A Global Stochastic Optimization Particle Filter Algorithm”

Statistical Seminar:  Time: 2:45 pm -3.30pm Date: 07th of July 2022 Place: Room 3001 Mathieu GERBER (Bristol University) " A Global Stochastic Optimization Particle Filter Algorithm" Abstract:We introduce a new online algorithm for expected log-likelihood maximization in situations where the objective function is multi-modal and/or has saddle points, that we term G-PFSO. The key element […]

Blair Bilodeau (University of Toronto) “Minimax Rates for Conditional Density Estimation via Empirical Entropy”

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 5th of September 2022 Place: Visio Blair Bilodeau (University of Toronto) "Minimax Rates for Conditional Density Estimation via Empirical Entropy" Abstract:We consider the task of estimating a conditional density using i.i.d. samples from a joint distribution, which is a fundamental problem with […]

Kaizheng Wang (Columbia University) “Adaptive and Robust Multi-task Learning “

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:15 pm Date: 19 of September 2022 Place: Zoom Kaizheng Wang (Columbia University) "Adaptive and Robust Multi-task Learning " Abstract: In this talk, we study the multi-task learning problem that aims to simultaneously analyze multiple datasets collected from different sources and learn one model for […]

Eddie Aamari (Sorbonne University) “Statistical Query Complexity of Manifold Estimation”

Statistical Seminar: Every Monday. Time: 3:45 pm - 5:00 pm Date: 26 of September 2022 Place: Amphi 200 Eddie Aamari (Sorbonne University) "Statistical Query Complexity of Manifold Estimation" Abstract: In this talk, we study the multi-task learning problem that aims to simultaneously analyze multiple datasets collected from different sources and learn one model for each […]