least square

From Continual Learning to SGD and Back: Better Rates for Continual Linear Models ALT 2026 Instrumental variables system identification with L^p consistency L4DC 2026 Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph CVPR 2025 DRaM-LHM: A Quaternion Framework for Iterative Camera Pose Estimation ICCV 2025 High-Dimensional Tensor Regression With Oracle Properties ICML 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions ICLR 2025 Towards Learning High-Precision Least Squares Algorithms with Sequence Models ICLR 2025 Distributed Least Squares in Small Space via Sketching and Bias Reduction NeurIPS 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Massive Editing for Large Language Models via Meta Learning ICLR 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning ICLR 2024 Regression Learning with Limited Observations of Multivariate Outcomes and Features ICML 2024 Robust Graph Neural Networks via Unbiased Aggregation NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 The behavioral toolbox L4DC 2024 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs COLT 2023 Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares ALT 2023 Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems L4DC 2023 Efficient Second-Order Plane Adjustment CVPR 2023 Near-optimal fitting of ellipsoids to random points COLT 2023 Open Problem: Learning sparse linear concepts by priming the features COLT 2023