Aurelie C. Lozano
11 papers · 2009–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
(3)
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Trend Setter
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(77)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(9)
Optimization & Theory
(8)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Optimization
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic
(1)
Keywords
orthogonal matching pursuit
(3)
group sparsity
(3)
variable selection
(3)
non-convex optimization
(2)
group orthogonal matching pursuit
(2)
maximum likelihood estimation
(2)
closed-form estimator
(2)
greedy algorithm
(2)
high-dimensional statistics
(2)
high-dimensional estimation
(2)
greedy selection
(2)
high-dimensional data
(2)
weakly supervised learning
(1)
sparse representation
(1)
stochastic gradient descent
(1)
feature selection
(1)
sparse recovery
(1)
causal inference
(1)
neural network training
(1)
group lasso
(1)
Papers
ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks
ACL 2026
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
NeurIPS 2023
Adaptive Proximal Gradient Methods for Structured Neural Networks
NeurIPS 2021
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
ICML 2017
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
CVPR 2016
Closed-form Estimators for High-dimensional Generalized Linear Models
NeurIPS 2015
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
NeurIPS 2015
Elementary Estimators for Graphical Models
NeurIPS 2014
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
NeurIPS 2011
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
NeurIPS 2010
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
NeurIPS 2009