quadratic programming

A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks ICML 2023 Differentiable Mathematical Programming for Object-Centric Representation Learning ICLR 2023 GlobalFlowNet: Video Stabilization Using Deep Distilled Global Motion Estimates WACV 2023 QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks NeurIPS 2023 ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking NeurIPS 2023 Learning Deep Input-Output Stable Dynamics NeurIPS 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022 Optimal channel selection with discrete QCQP AISTATS 2022 PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond RSS 2022 Robust Group Synchronization via Quadratic Programming ICML 2022 ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NeurIPS 2021 Bayesian Experience Reuse for Learning from Multiple Demonstrators IJCAI 2021 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees IJCAI 2021 Learning to Switch Optimizers for Quadratic Programming ACML 2021 Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021 Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates NeurIPS 2020 Optimality, Accuracy, and Efficiency of an Exact Functional Test IJCAI 2020 Piecewise Linear Regression via a Difference of Convex Functions ICML 2020 Pixel-Wise Motion Deblurring of Thermal Videos RSS 2020 Understanding spiking networks through convex optimization NeurIPS 2020 Impact-Friendly Robust Control Design with Task-Space Quadratic Optimization RSS 2019 New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019 Partial Label Learning with Self-Guided Retraining AAAI 2019 Projection-Free Bandit Convex Optimization AISTATS 2019