Julie Josse
16 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (6)
π
Conference Polyglot
(4)
π
Academic Marathon
(9)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
π
Century Club
(16)
β
The Questioner
ποΈ
Keyword Collector
(65)
Conferences
AISTATS (5)
NIPS (5)
ICML (4)
JMLR (2)
Top co-authors
Keywords
missing value
(3)
conformal prediction
(2)
matrix completion
(2)
prediction interval
(2)
uncertainty quantification
(2)
low-rank model
(2)
missing datum
(2)
neural network
(2)
time series forecasting
(1)
covariate shift
(1)
feature selection
(1)
quantile regression
(1)
joint learning
(1)
online convex optimization
(1)
policy learning
(1)
parameter estimation
(1)
linear regression
(1)
supervised learning
(1)
maximum mean discrepancy
(1)
differentiable programming
(1)
Papers
Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data
JMLR 2025
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
AISTATS 2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies
ICML 2025
MMD-based Variable Importance for Distributional Random Forest
AISTATS 2024
Positivity-free Policy Learning with Observational Data
AISTATS 2024
Conformal Prediction with Missing Values
ICML 2023
Adaptive Conformal Predictions for Time Series
ICML 2022
Whatβs a good imputation to predict with missing values?
NIPS 2021
Debiasing Averaged Stochastic Gradient Descent to handle missing values
NIPS 2020
Linear predictor on linearly-generated data with missing values: non consistency and solutions
AISTATS 2020
Missing Data Imputation using Optimal Transport
ICML 2020
NeuMiss networks: differentiable programming for supervised learning with missing values.
NIPS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
NIPS 2020
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
NIPS 2018
Bootstrap-Based Regularization for Low-Rank Matrix Estimation
JMLR 2016