← Authors

Guillaume Lecue

6 papers · 2006–2024 · 2 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (18) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 📈 Trend Setter

Conferences

JMLR (5) ICML (1)

Top co-authors

Lucie Neirac (2) Shahar Mendelson (1) Timothée Mathieu (1) Zoltan Szabo (1) Mihai Cucuringu (1) Matthieu Lerasle (1) Stephane Gaiffas (1) Stéphane Chrétien (1)

Research topics

Statistics (1)

Keywords

model selection (2) empirical risk minimization (2) convex optimization (1) density estimation (1) supervised learning (1) robust statistics (1) model aggregation (1) community detection (1) sparse principal component analysis (1) kullback-leibler divergence (1) semi-definite programming (1) lasso regression (1) stochastic process (1) robust estimation (1) maximum mean discrepancy (1) regularization parameter (1) excess risk bound (1) kernel mean embedding (1) gaussian mixture model (1) exponential weight (1)

Papers

Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature JMLR 2021
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means ICML 2019
Regularization and the small-ball method II: complexity dependent error rates JMLR 2017
Hyper-Sparse Optimal Aggregation JMLR 2011
Lower Bounds and Aggregation in Density Estimation JMLR 2006