Co-occurring keywords · papers mentioning both
Papers
Set Valued Predictions For Robust Domain Generalization
ICML 2025
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
NeurIPS 2024
OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision
WACV 2024
Optimization Can Learn Johnson Lindenstrauss Embeddings
NeurIPS 2024
Quantum Multi-Model Fitting
CVPR 2023
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation
CVPR 2022
Learning to Optimize: A Primer and A Benchmark
JMLR 2022
NRI-FGSM: An Efficient Transferable Adversarial Attack for Speaker Recognition Systems
Interspeech 2022
Average-case Acceleration for Bilinear Games and Normal Matrices
ICLR 2021
Graph Learning for Inverse Landscape Genetics
AAAI 2021
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs
ICCV 2021
Open Problem: Tight Convergence of SGD in Constant Dimension
COLT 2020
Universal Average-Case Optimality of Polyak Momentum
ICML 2020
What Does Plate Glass Reveal About Camera Calibration?
CVPR 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
CVPR 2020
AI at the Margins: Data, Decisions, and Inclusive Social Impact
IJCAI 2019
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
AAAI 2019
PDE Acceleration for Active Contours
CVPR 2019
A Strategy for Ranking Optimization Methods using Multiple Criteria
AutoML 2016
Regularized Nonlinear Acceleration
NeurIPS 2016
Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux
ICCV 2013
Polar Operators for Structured Sparse Estimation
NeurIPS 2013
A quasi-Newton proximal splitting method
NeurIPS 2012
Fast Variational Inference in the Conjugate Exponential Family
NeurIPS 2012