weighted least square

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions ICML 2024 Linear bandits with polylogarithmic minimax regret COLT 2024 Mixed-Effects Contextual Bandits AAAI 2024 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024 The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric ICLR 2024 Near Optimal Heteroscedastic Regression with Symbiotic Learning COLT 2023 Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation CVPR 2023 A Generalized Weighted Optimization Method for Computational Learning and Inversion ICLR 2022 Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs NeurIPS 2022 FastSHAP: Real-Time Shapley Value Estimation ICLR 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 AdaFit: Rethinking Learning-Based Normal Estimation on Point Clouds ICCV 2021 Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021 Deep Iterative Surface Normal Estimation CVPR 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 MAGSAC: Marginalizing Sample Consensus CVPR 2019 Improving Speech Intelligibility in Binaural Hearing Aids by Estimating a Time-Frequency Mask with a Weighted Least Squares Classifier Interspeech 2017 Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017