bias-variance tradeoff

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models AAAI 2026 Exogenous Randomness Empowering Random Forests JMLR 2026 It’s My Data Too: Private ML for Datasets with Multi-User Training Examples ICML 2025 On Shallow Planning Under Partial Observability AAAI 2025 Optimizing importance weighting in the presence of sub-population shifts ICLR 2025 Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests JMLR 2025 Scaling Up Temporal Domain Generalization via Temporal Experts Averaging EMNLP 2025 Understanding the Effect of GCN Convolutions in Regression Tasks AISTATS 2025 Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024 Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random NeurIPS 2024 Instance-Specific Asymmetric Sensitivity in Differential Privacy NeurIPS 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 LabelDP-Pro: Learning with Label Differential Privacy via Projections ICLR 2024 Least Squares Regression Can Exhibit Under-Parameterized Double Descent NeurIPS 2024 Mutual Information Estimation via f-Divergence and Data Derangements NeurIPS 2024 Risk Bounds of Accelerated SGD for Overparameterized Linear Regression ICLR 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024 Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space ICLR 2024 Why Do We Need Weight Decay in Modern Deep Learning? NeurIPS 2024 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models ICLR 2023 Loosely consistent emphatic temporal-difference learning UAI 2023 On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation ICML 2023 OptIForest: Optimal Isolation Forest for Anomaly Detection IJCAI 2023 Optimal Unbiased Randomizers for Regression with Label Differential Privacy NeurIPS 2023