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bias variance tradeoff

25 papers

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Co-occurring keywords

variational inference (2069) variance reduction (523) importance sampling (318) ensemble learning (1274) statistical leverage (3) least square (101) gradient estimator (59) bias-variance tradeoff (32) ensemble method (564) generalization error (285)

Papers

Mutual Information Estimation via $f$-Divergence and Data Derangements NIPS 2024
Loosely consistent emphatic temporal-difference learning UAI 2023
Optimal Unbiased Randomizers for Regression with Label Differential Privacy NIPS 2023
OptIForest: Optimal Isolation Forest for Anomaly Detection IJCAI 2023
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models ACL 2023
Variance Control for Distributional Reinforcement Learning ICML 2023
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm AISTATS 2022
Do Differentiable Simulators Give Better Policy Gradients? ICML 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022
Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
SOPE: Spectrum of Off-Policy Estimators NIPS 2021
Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020
Distributionally Robust Submodular Maximization AISTATS 2019
Regularization in directable environments with application to Tetris ICML 2019
On Variational Bounds of Mutual Information ICML 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019
Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018
A Statistical Perspective on Algorithmic Leveraging JMLR 2015
Measuring Sample Quality with Stein's Method NIPS 2015
A Statistical Perspective on Algorithmic Leveraging ICML 2014
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation JMLR 2010
Managing Diversity in Regression Ensembles JMLR 2005