François Portier
11 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(60)
💎
Century Club
(11)
❓
The Questioner
Conferences
AISTATS (5)
JMLR (3)
NIPS (2)
ICML (1)
Top co-authors
Keywords
nearest neighbor
(2)
adaptive importance sampling
(2)
stochastic optimization
(2)
empirical risk minimization
(2)
monte carlo integration
(2)
bayesian inference
(1)
domain adaptation
(1)
model selection
(1)
dimension reduction
(1)
non-convex optimization
(1)
cross validation
(1)
importance sampling
(1)
gradient estimation
(1)
covariate shift
(1)
bayesian linear regression
(1)
algorithmic stability
(1)
survival analysis
(1)
kernel smoothing
(1)
distribution shift
(1)
adaptive sampling
(1)
Papers
Sharp error bounds for imbalanced classification: how many examples in the minority class?
AISTATS 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation
JMLR 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
SGD with Coordinate Sampling: Theory and Practice
JMLR 2022
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
NIPS 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
AISTATS 2022
Empirical Risk Minimization under Random Censorship
JMLR 2022
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
AISTATS 2021
Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods
AISTATS 2018
Asymptotic optimality of adaptive importance sampling
NIPS 2018