Aurelie C. Lozano
11 papers · 2009–2026 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (3) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (14)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(2)
π
Trend Setter
ποΈ
Keyword Collector
(68)
π
Century Club
(10)
Conferences
NIPS (8)
ACL (1)
CVPR (1)
ICML (1)
Top co-authors
Keywords
group sparsity
(3)
variable selection
(3)
orthogonal matching pursuit
(3)
non-convex optimization
(2)
greedy selection
(2)
high-dimensional statistics
(2)
group orthogonal matching pursuit
(2)
greedy algorithm
(2)
stochastic gradient descent
(1)
sparse recovery
(1)
causal inference
(1)
feature selection
(1)
sparse representation
(1)
weakly supervised learning
(1)
group lasso
(1)
neural network training
(1)
high-dimensional data
(1)
robust regression
(1)
neural network optimization
(1)
sparse estimation
(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
NIPS 2023
Adaptive Proximal Gradient Methods for Structured Neural Networks
NIPS 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
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
NIPS 2015
Closed-form Estimators for High-dimensional Generalized Linear Models
NIPS 2015
Elementary Estimators for Graphical Models
NIPS 2014
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
NIPS 2011
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
NIPS 2010
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
NIPS 2009