bias-variance tradeoff

Soft Target-Enhanced Matching Framework for Deep Entity Matching AAAI 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 Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022 Bayesian Active Learning with Fully Bayesian Gaussian Processes NeurIPS 2022 Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022 Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm AISTATS 2022 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NeurIPS 2022 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare NeurIPS 2022 Multiclass learning with margin: exponential rates with no bias-variance trade-off ICML 2022 Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime NeurIPS 2022 A statistical perspective on distillation ICML 2021 Bias and variance of the Bayesian-mean decoder NeurIPS 2021 Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021 Early Stopping in Deep Networks: Double Descent and How to Eliminate it ICLR 2021 Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021 Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021 On the Bias-Variance-Cost Tradeoff of Stochastic Optimization NeurIPS 2021 On the difficulty of unbiased alpha divergence minimization ICML 2021 Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective ICLR 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 Tractable contextual bandits beyond realizability AISTATS 2021 Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation NeurIPS 2021