conftrace_

least square

101 papers

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Co-occurring keywords

linear regression (282) stochastic gradient descent (1091) ridge regression (134) convergence rate (607) robust estimation (168) stochastic optimization (1060) linear dynamical system (86) unbiased estimator (39) kernel methods (1097) implicit regularization (93)

Papers

From Continual Learning to SGD and Back: Better Rates for Continual Linear Models ALT 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
PLeaS - Merging Models with Permutations and Least Squares CVPR 2025
Robust Graph Neural Networks via Unbiased Aggregation NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024
The behavioral toolbox L4DC 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NIPS 2024
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems L4DC 2023
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares ALT 2023
Efficient Second-Order Plane Adjustment CVPR 2023
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NIPS 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 2023
Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022
RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization CVPR 2022
Unbiased estimators for random design regression JMLR 2022
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions NIPS 2022
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
Last iterate convergence of SGD for Least-Squares in the Interpolation regime. NIPS 2021
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NIPS 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models NIPS 2021