quadratic programming

Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing CVPR 2026 Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter L4DC 2026 Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates L4DC 2026 Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026 Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions JMLR 2026 Warm-starting active-set solvers using graph neural networks L4DC 2026 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025 Demonstrating a Control Framework for Physical Human-Robot Interaction Toward Industrial Applications RSS 2025 Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025 Faster Algorithms for Structured Linear and Kernel Support Vector Machines ICLR 2025 HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs ICML 2025 Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions L4DC 2025 Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability L4DC 2025 QPM: Discrete Optimization for Globally Interpretable Image Classification ICLR 2025 A fast algorithm to simulate nonlinear resistive networks ICML 2024 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Continuous Partitioning for Graph-Based Semi-Supervised Learning NeurIPS 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning ICLR 2024 Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024 MPC-inspired reinforcement learning for verifiable model-free control L4DC 2024 Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance NeurIPS 2024