François Portier
11 papers · 2018–2024 · 4 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
Jump to papers ↓+3 more ↓ Show less ↑
🗺️ Taxonomy Completionist (22) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)
🗃️
Keyword Collector
(64)
❓
The Questioner
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Keywords
empirical risk minimization
(2)
adaptive importance sampling
(2)
monte carlo method
(2)
nearest neighbor
(2)
stochastic optimization
(2)
monte carlo integration
(2)
control variate
(2)
bayesian inference
(1)
domain adaptation
(1)
model selection
(1)
dimension reduction
(1)
cross validation
(1)
importance sampling
(1)
gradient estimation
(1)
non-convex optimization
(1)
survival analysis
(1)
bayesian linear regression
(1)
sliced wasserstein distance
(1)
kernel smoothing
(1)
algorithmic stability
(1)
Papers
Nearest Neighbor Sampling for Covariate Shift Adaptation
JMLR 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class?
AISTATS 2024
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
ICML 2024
On the bias of K-fold cross validation with stable learners
AISTATS 2023
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
AISTATS 2022
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
NeurIPS 2022
Empirical Risk Minimization under Random Censorship
JMLR 2022
SGD with Coordinate Sampling: Theory and Practice
JMLR 2022
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
AISTATS 2021
Asymptotic optimality of adaptive importance sampling
NeurIPS 2018
Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods
AISTATS 2018