conftrace_

Victor Dheur

4 papers · 2023–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏆 Keyword Champion (2)

Venues

ICML (3) AISTATS (1)

Top co-authors

Souhaib Ben Taieb (4) Matteo Fontana (1) Maxim Panov (1) Vincent Plassier (1) Mohsen Guizani (1) Yorick Estievenart (1) Eric Moulines (1) Naomi Desobry (1) Alexander Fishkov (1)

Research topics

Machine Learning (4) Core Methods (4) Optimization & Theory (3) Deep Learning (2) Architectures (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Models (1)

Keywords

probabilistic calibration (2) conditional coverage (2) neural network regression (2) conformal prediction (2) quantile recalibration (1) invertible generative model (1) conformity score (1) generalized conformity scores (1) independent generative model (1) multivariate base models (1) adaptive confidence sets (1) quantile estimate (1) split conformal prediction (1) uncertainty quantification (1) multivariate regression (1) predictive distribution (1)

Papers

A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression ICML 2025 Rectifying Conformity Scores for Better Conditional Coverage ICML 2025 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023