conftrace_

learning curve

34 papers

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Co-occurring keywords

gaussian process (1200) generalization error (285) hyperparameter optimization (406) gaussian process regression (133) universal learning (5) random graph (47) bayesian optimization (624) kernel ridge regression (111) kernel regression (87) bayesian inference (1907)

Papers

Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible EACL 2026
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025
Universal Rates of Empirical Risk Minimization NIPS 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NIPS 2024
Universal Rates for Active Learning NIPS 2024
A Theoretical Analysis of the Learning Dynamics under Class Imbalance ICML 2023
Scaling Laws for Hyperparameter Optimization NIPS 2023
Fine-Grained Distribution-Dependent Learning Curves COLT 2023
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NIPS 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NIPS 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NIPS 2023
Supervising the Multi-Fidelity Race of Hyperparameter Configurations NIPS 2022
Revisiting Neural Scaling Laws in Language and Vision NIPS 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NIPS 2022
Universal Rates for Interactive Learning NIPS 2022
Learning curves of generic features maps for realistic datasets with a teacher-student model NIPS 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios NIPS 2021
When Do You Need Billions of Words of Pretraining Data? ACL 2021
Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena ACL 2021
Learning Curves for Analysis of Deep Networks ICML 2021
NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020
Learning to Rank Learning Curves ICML 2020