Name: Nathan SEEGERT (University of Utah) – “The Elasticity of Taxable Income Across Countries”
Start: 2025-09-16T12:15:00+02:00
End: 2025-09-16T13:30:00+02:00

Azadeh KHALEGHI
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statistical learning theory, nonparametric statistics, information theory, long-memory processes

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Futoshi Furami (Osaka University) “Uncertainty Quantification through Calibration in Classification Problems”

Vianney PERCHET (CREST) – Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback

Lucas RESENDE (CREST) – “Unbiased Estimation of Multi-Way Gravity Models, with Philippe Choné (CREST) and Guillaume Lecué (CREST and ESSEC)

Nathan SEEGERT (University of Utah) – “The Elasticity of Taxable Income Across Countries”

Azadeh KHALEGHI

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Futoshi Furami (Osaka University) “Uncertainty Quantification through Calibration in Classification Problems”

Vianney PERCHET (CREST) – Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback

Lucas RESENDE (CREST) – “Unbiased Estimation of Multi-Way Gravity Models, with Philippe Choné (CREST) and Guillaume Lecué (CREST and ESSEC)

Nathan SEEGERT (University of Utah) – “The Elasticity of Taxable Income Across Countries”

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