Events for March 2026

Events Search and Views Navigation

Calendar of Events

Calendar of Events
Monday	Tuesday	Wednesday	Thursday	Friday	Saturday	Sunday
						1
2	3	4	5 Nathan LASSANCE (UCL- Louvain) “The Distribution of Out-of-Sample Performance of Estimated Portfolios” Dario PALUMBO (Université de Venise) “Multivariate Score-Driven Models for Strictly Positive Variables”	6	7	8
9 Stephen HANSEN (University College London) “Policymakers’ Uncertainty” Aymeric DIEULEVEUT (Ecole Polytechnique) “Will computers replace optimization researchers? Computer-aided proofs in first-order optimization, a case study on error feedback.” Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning	10 Claus THUSTRUP KREINER (University of Copenhagen) – “Optimal Redistribution and Tax Enforcement” Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning Anniversaire Chaire CARE	11 Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning	12 Balazs KOVACS (Yale University) – “Political Polarization and Group Performance” Tommy ANDERSSON, (Lund U) – ” The Endogenous Architecture for Two-Sided Matching Markets” Lars Ehlers, Ryan Tierney, Lars-Gunnar Svensson Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning	13 Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning	14 Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning	15 Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning
16 Domenico GIANNONE (Johns Hopkins University) “Bayesian Inference in IV Regression” Gabor LUGOSI (Universitat Pompeu Fabra) – Structure learning and property testing in graphical models Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning View All 4 Events »	17 Rema HANNA (Harvard Kennedy School) – “The Limits of Government Outsourcing: Property Tax Re-Assessments in India” Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	18 Patrick REY (TSE) – “Platform Competition and Innovation “ Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	19 Abraham LIOUI (EDHEC) “Carbon Uncertainty and Asset Prices” Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories JSTAR 2026 View All 4 Events »	20 Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories JSTAR 2026 JSTAR 2026 : 20th Statistics Days at Rennes	21 Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	22 Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories
23 Gernot MULLER (Tuebingen University) “The Propagation of Tariff Shocks via Production Networks” Thomas BERRETT (University of Warwick) – Permutation two-sample testing under local differential privacy Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	24 Fernando STIPANICIC (University of Oslo) – “International Effects of US Medical Device Regulation” Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	25 Zackary DUNIVIN (University of Stuttgart) – “What is the role of social identity in LLMs?” Sophie BADE (Royal Holloway) – “Open-ended Matching with and without Markets” Marshall TAYLOR (New Mexico State University) – “Meaningful Geometries: Towards a More Reliable Analysis of Culture using Word Embeddings” View All 4 Events »	26 Juliette SAETRE (Toulouse School of Economics) – “From Frontlines to Home: The Impact of Returning Soldiers’ Testimonies on Public Opinion” Christoph REISINGER “Oxford University” t.b.a Luca CARBONE (KU Leuven) – “A Computational Sociology of Everyday Media Consumption for Youth Identities and Well-Being: Evidence from a Cross-National Daily Diary Study” View All 4 Events »	27 Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	28 Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	29 Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories
30 Francesco BIANCHI (Johns Hopkins University) “Smooth Diagnostic Expectations” Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories	31 Brianne DUBOIS (ENS-PSL) – “A Computational Sociology of Cultural Inequalities” Amelie SCHIPROWSKI (University of Bonn) – “Reducing Mandatory Job Applications in Unemployment Insurance” Krishna BALASUBRAMANIAN (UC DAVIS)- Finite-Particle Convergence of (Regularized) Stein Variational Gradient Descent

+ Export Events