conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
convex relaxation
convex relaxation
112 papers
Explore in graph
Co-occurring keywords
convex optimization
(1321)
semidefinite programming
(147)
combinatorial optimization
(1039)
neural network verification
(106)
linear programming
(227)
low-rank matrix
(174)
graphical model
(864)
adversarial robustness
(1341)
quadratic programming
(83)
matrix recovery
(51)
Papers
Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
CVPR 2025
Certifiably Optimal Anisotropic Rotation Averaging
ICCV 2025
Validation of composite systems by discrepancy propagation
UAI 2023
Semidefinite Relaxations for Robust Multiview Triangulation
CVPR 2023
A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
AISTATS 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
JMLR 2022
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games
IJCAI 2022
Private Robust Estimation by Stabilizing Convex Relaxations
COLT 2022
Clustering with Semidefinite Programming and Fixed Point Iteration
JMLR 2022
On Low-rank Trace Regression under General Sampling Distribution
JMLR 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
NIPS 2022
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation
JMLR 2022
Overcoming the Convex Barrier for Simplex Inputs
NIPS 2021
Efficient Certification of Spatial Robustness
AAAI 2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
NIPS 2021
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations
JMLR 2021
Fastened CROWN: Tightened Neural Network Robustness Certificates
AAAI 2020
Hierarchical Verification for Adversarial Robustness
ICML 2020
Safe screening rules for L0-regression from Perspective Relaxations
ICML 2020
One Size Fits All: Can We Train One Denoiser for All Noise Levels?
ICML 2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
NIPS 2020
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
NIPS 2020
New Convex Relaxations for MRF Inference With Unknown Graphs
ICCV 2019
Practical Coding Function Design for Time-Of-Flight Imaging
CVPR 2019
Beyond the Single Neuron Convex Barrier for Neural Network Certification
NIPS 2019
<
1
2
3
4
5
>