Co-occurring keywords · papers mentioning both
Papers
Learning Pareto manifolds in high dimensions: How can regularization help?
AISTATS 2025
Sparse Structure Exploration and Re-optimization for Vision Transformer
UAI 2025
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation
JMLR 2023
A Simple Unified Framework for High Dimensional Bandit Problems
ICML 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure
JMLR 2022
Sparse Structure Search for Delta Tuning
NeurIPS 2022
Learning To Match Features With Seeded Graph Matching Network
ICCV 2021
Bayesian Joint Spike-and-Slab Graphical Lasso
ICML 2019
Dynamic Pricing in High-dimensions
JMLR 2019
Variational Inference for sparse network reconstruction from count data
ICML 2019
Learning Intrinsic Sparse Structures within Long Short-Term Memory
ICLR 2018
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
ICML 2018
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
NeurIPS 2017
Elementary Estimators for Graphical Models
NeurIPS 2014
Learning Latent Variable Gaussian Graphical Models
ICML 2014
On Prior Distributions and Approximate Inference for Structured Variables
NeurIPS 2014
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
ICML 2013