semidefinite relaxation

Implicit Learning for Reasoning in First-Order Probabilistic Logic UAI 2026 Convex Formulations for Training Two-Layer ReLU Neural Networks ICLR 2025 Formation Shape Control using the Gromov-Wasserstein Metric L4DC 2025 Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances ICML 2025 Multi-View Randomized Kernel Classification via Nonconvex Optimization AAAI 2024 Support Recovery in Sparse PCA with General Missing Data UAI 2024 Essential Matrix Estimation using Convex Relaxations in Orthogonal Space ICCV 2023 Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification AAAI 2023 Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023 Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts IJCAI 2021 Optimal Pose and Shape Estimation for Category-level 3D Object Perception RSS 2021 A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation CVPR 2020 On the optimality of kernels for high-dimensional clustering AISTATS 2020 On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples NeurIPS 2020 SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences CVPR 2019 Certified Defenses against Adversarial Examples ICLR 2018 Semidefinite relaxations for certifying robustness to adversarial examples NeurIPS 2018 Convex Phase Retrieval without Lifting via PhaseMax ICML 2017 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Optimal Solutions for Sparse Principal Component Analysis JMLR 2008 Convex Relaxations of Latent Variable Training NeurIPS 2007 Learning Monotonic Transformations for Classification NeurIPS 2007