least square

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NeurIPS 2023 A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling ICML 2022 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022 Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022 Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime NeurIPS 2022 RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization CVPR 2022 Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions NeurIPS 2022 Unbiased estimators for random design regression JMLR 2022 A Deflation Based Fast and Robust Preconditioner for Bundle Adjustment WACV 2021 A heuristic for statistical seriation UAI 2021 Classification vs regression in overparameterized regimes: Does the loss function matter? JMLR 2021 Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NeurIPS 2021 Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models NeurIPS 2021 Feature-Based SLAM: Why Simultaneous Localisation and Mapping? RSS 2021 Finite Time LTI System Identification JMLR 2021 Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 Last iterate convergence of SGD for Least-Squares in the Interpolation regime. NeurIPS 2021 Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021 Least Square Calibration for Peer Reviews NeurIPS 2021 On the Role of Optimization in Double Descent: A Least Squares Study NeurIPS 2021 Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021 Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021 The Benefits of Implicit Regularization from SGD in Least Squares Problems NeurIPS 2021 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms AISTATS 2020