conftrace_
← Core Methods
Machine Learning › Core Methods ›

Model Selection

19 papers

Papers per year

2
1
1
2
'10
'15
'20
'25

Papers

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory ACL 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search AAAI 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation NIPS 2023
Bayesian Data Selection JMLR 2023
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NIPS 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022
Joint Continuous and Discrete Model Selection via Submodularity JMLR 2022
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection CVPR 2021
A Bayesian Perspective on Training Speed and Model Selection NIPS 2020
Topological Data Analysis of Decision Boundaries with Application to Model Selection ICML 2019
Bayesian optimization for automated model selection NIPS 2016
A New Generalized Error Path Algorithm for Model Selection ICML 2015
The lasso, persistence, and cross-validation ICML 2013
On Estimation and Selection for Topic Models AISTATS 2012
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Data-driven calibration of linear estimators with minimal penalties NIPS 2009