conftrace_

regularization parameter

29 papers

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Co-occurring keywords

support vector machine (978) high-dimensional regression (142) sparse regression (175) model selection (456) stochastic gradient descent (1091) early stopping (76) regularization path (17) parameter tuning (36) learning rate (192) error bound (88)

Papers

Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025
The Solution Path of SLOPE AISTATS 2024
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
On Low-rank Trace Regression under General Sampling Distribution JMLR 2022
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021
The balancing principle for parameter choice in distance-regularized domain adaptation NIPS 2021
Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020
Using Benson’s Algorithm for Regularization Parameter Tracking AAAI 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization IJCAI 2019
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions ICML 2018
Optimal Rates for Multi-pass Stochastic Gradient Methods JMLR 2017
Distributionally Robust Groupwise Regularization Estimator ACML 2017
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
Sensitivity of Quantitative RT-MRI Metrics of Vocal Tract Dynamics to Image Reconstruction Settings INTERSPEECH 2016
Three Viewpoints Toward Exemplar SVM CVPR 2015
Learning with Incremental Iterative Regularization NIPS 2015
Regularization Path of Cross-Validation Error Lower Bounds NIPS 2015
A New Generalized Error Path Algorithm for Model Selection ICML 2015
Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012