Co-occurring keywords · papers mentioning both
Papers
Joint State and Noise Covariance Estimation
RSS 2025
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation
AISTATS 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations
JMLR 2024
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
CVPR 2023
Theseus: A Library for Differentiable Nonlinear Optimization
NeurIPS 2022
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition
CVPR 2021
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
CVPR 2020
Two-Grid Preconditioned Solver for Bundle Adjustment
WACV 2020
Accelerated Gravitational Point Set Alignment With Altered Physical Laws
ICCV 2019
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation
ICCV 2019
Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding
AISTATS 2018
Exploiting the Separable Structure of SLAM
RSS 2015
Global Supervised Descent Method
CVPR 2015
Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics
RSS 2013
Mirror Surface Reconstruction from a Single Image
CVPR 2013
Automatic Calibration of Multiple Coplanar Sensors
RSS 2011