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

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models NIPS 2021
Classification vs regression in overparameterized regimes: Does the loss function matter? JMLR 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021
The Benefits of Implicit Regularization from SGD in Least Squares Problems NIPS 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021
Inferring serial correlation with dynamic backgrounds ICML 2021
Feature-Based SLAM: Why Simultaneous Localisation and Mapping? RSS 2021
Finite Time LTI System Identification JMLR 2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021
A Deflation Based Fast and Robust Preconditioner for Bundle Adjustment WACV 2021
A heuristic for statistical seriation UAI 2021
Optimal least-squares solution to the hand-eye calibration problem CVPR 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares ICML 2020
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms JMLR 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NIPS 2020
Minimax Rank-$1$ Matrix Factorization AISTATS 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator CVPR 2020
Deep Iterative Surface Normal Estimation CVPR 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020
No-Regret Prediction in Marginally Stable Systems COLT 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms AISTATS 2020
Quasi-Newton Solver for Robust Non-Rigid Registration CVPR 2020
Implicit Regularization and Convergence for Weight Normalization NIPS 2020