Co-occurring keywords · papers mentioning both
Papers
Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems
L4DC 2026
A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations
L4DC 2025
Building Rome with Convex Optimization
RSS 2025
Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
CVPR 2025
Distributional Surgery for Language Model Activations
EMNLP 2025
Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations
RSS 2025
Rank-one Convexification for Sparse Regression
JMLR 2025
Robust Algorithms for Recovering Planted r-Colorable Graphs
COLT 2025
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
ICML 2025
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
JMLR 2025
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
ICLR 2025
Are Graph Neural Networks Optimal Approximation Algorithms?
NeurIPS 2024
Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory
ACML 2024
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
ECCV 2024
Distributed Kernel-Driven Data Clustering
JMLR 2024
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
NeurIPS 2024
Efficient Convex Algorithms for Universal Kernel Learning
JMLR 2024
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
ICML 2024
Gap-Free Clustering: Sensitivity and Robustness of SDP
COLT 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
ICLR 2024
On Sparse Canonical Correlation Analysis
NeurIPS 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
ICLR 2024
RedEx: Beyond Fixed Representation Methods via Convex Optimization
ALT 2024
Semidefinite Relaxations of the Gromov-Wasserstein Distance
NeurIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
NeurIPS 2024