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Model Selection

Given a set of candidate models, the goal of Model Selection is to select the model that best approximates the observed data and captures its underlying regularities. Model Selection criteria are defined such that they strike a balance between the goodness of fit, and the generalizability or complexity of the models.

Source: Kernel-based Information Criterion

Papers

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Showing 126–150 of 2050 papers

TitleStatusHype
Capability Instruction Tuning: A New Paradigm for Dynamic LLM RoutingCode0
Subsampling Graphs with GNN Performance Guarantees—0
Multilevel classification framework for breast cancer cell selection and its integration with advanced disease models—0
Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis—0
biastest: Testing parameter equality across different models in Stata—0
Moshi Moshi? A Model Selection Hijacking Adversarial Attack—0
Optimizing Model Selection for Compound AI SystemsCode2
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMsCode0
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment—0
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient EvaluationCode0
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language ModelsCode0
Model selection for behavioral learning data and applications to contextual bandits—0
The Majority Vote Paradigm Shift: When Popular Meets Optimal—0
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis—0
Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit ViewCode0
Realistic Evaluation of Deep Partial-Label Learning Algorithms—0
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer—0
Benchmarking the rationality of AI decision making using the transitivity axiom—0
Near-Field Localization with Physics-Compliant Electromagnetic Model: Algorithms and Model Mismatch Analysis—0
Capitalizing on a Crisis: A Computational Analysis of all Five Million British Firms During the Covid-19 Pandemic—0
The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data—0
Causal Covariate Shift Correction using Fisher information penalty—0
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol—0
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