conftrace_

bias correction

57 papers

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Co-occurring keywords

semi-supervised learning (2341) causal inference (1630) generative model (2892) bias mitigation (500) confidence interval (146) neural network (6616) importance sampling (318) markov chain monte carlo (725) statistical inference (146) off-policy evaluation (144)

Papers

High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation AAAI 2026
Agentic Economic Modeling ACL 2026
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos IJCAI 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias AAAI 2025
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data AAAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise NIPS 2024
Twice Class Bias Correction for Imbalanced Semi-supervised Learning AAAI 2024
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection AAAI 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NIPS 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals From Optimal Patch-Wise Binarization WACV 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2023
Approximate Post-Selective Inference for Regression with the Group LASSO JMLR 2023
Overwriting Pretrained Bias with Finetuning Data ICCV 2023
On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data NIPS 2023
Regression with Sensor Data Containing Incomplete Observations ICML 2023
Multiple Robust Learning for Recommendation AAAI 2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses ACL 2023
Reinforced Sequence Training based Subjective Bias Correction EACL 2023