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Agenda
- 07
SeptemberMacroeconomics, SeminarsXavier RAGOT (OFCE) “T.B.A.”
12:15 PM - 1:30 PM08
SeptemberApplied Seminar, SeminarsEmma DU PUY (Sciences Po)
“Unintended Environmental Policies: The Impact of European Agricultural Subsid...
12:15 PM - 1:30 PM10
SeptemberQuantitative Sustainable Economics and Finance, SeminarsMarcelo SENA (Stanford University) “Pricing and Risk in Sovereign Green Debt: Evidence from Chile”
10:00 AM - 12:00 PM14
SeptemberMacroeconomics, SeminarsSimon BUNEL (INSEAD) “Cultivating Productivity through Regulation: The Case of Pesticide Bans in France”
12:15 PM - 1:30 PM17
SeptemberFinancial EconometricsZhenya LIU (EM Normandie) “Inferential theory for Reduced Rank Regression with Omitted Factors”
2:00 PM - 4:00 PM17
SeptemberFinancial EconometricsEric GHYSELS (UNC Chapel Hill) “Seasonality in High Dimensional Data”
2:00 PM - 4:00 PM22
SeptemberApplied Seminar, SeminarsMarius BRÜLHART (University of Lausanne...
“t.b.a.”
12:15 PM - 1:30 PM28
SeptemberMacroeconomics, SeminarsChristian HELLWIG (TSE) “T.B.A.”
12:15 PM - 1:30 PM29
SeptemberApplied Seminar, SeminarsRenaud COULOMB (Ecole des Mines Paris)
“t.b.a.”
12:15 PM - 1:30 PM05
OctoberMacroeconomics, SeminarsJonathon HAZELL (MIT) “T.B.A.”
12:15 PM - 1:30 PM12
OctoberThere are no upcoming events at this time.Publications
statistics
A Unifying View of Variational Generative Wasserstein Flows
Many modern generative models can be viewed as minimizing divergences between probability distributions, yet they rely on different algorithmic and geometric principles. Wasserstein gradient flows pro ...
ICML 2026, 2026
economics
Comptabilité distributionnelle : contexte, résultats, limites et enjeux
Distributional National Accounts (DINA) result from a reconciliation exercise of tax data, household surveys, and national accounts in order to construct income and wealth series that are fully consis ...
Revue Française d'économie, 2026
statistics
Sharp Optimal Algorithm for Derivative-Free Stochastic Convex Optimization in One Dimension
Stochastic convex optimization is a classical problem with well-understood guarantees under first-order feedback. In contrast, for zero-order optimization with noisy function evaluations, a logarithmi ...
Arxiv, Optimization and Control, 2026
statistics
Gradient-free stochastic optimization of derivatives under strong convexity
We consider the problem of minimizing the k-th order partial derivative f=∂kjg of an unknown function g along a fixed coordinate direction j, based on noisy queries of g. Assuming that g has Hölder ...
Arxiv, Statistics Theory, 2026













