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Optimization

1203 directly classified papers

Papers per year

Papers

Convex optimization based on global lower second-order models NIPS 2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NIPS 2020
Conformal Symplectic and Relativistic Optimization NIPS 2020
Weak Form Generalized Hamiltonian Learning NIPS 2020
Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020
Estimating Reachable Sets with Scenario Optimization L4DC 2020
Direct Data-Driven Control with Embedded Anti-Windup Compensation L4DC 2020
Sparse Symplectically Integrated Neural Networks NIPS 2020
Building Scalable and Flexible Cluster Managers Using Declarative Programming OSDI 2020
Sparseness-Aware DOA Estimation with Majorization Minimization INTERSPEECH 2020
Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract) AAAI 2020
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression AAAI 2020
Defending with Shared Resources on a Network AAAI 2020
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games AAAI 2020
Envelope-Based Approaches to Real-Time Heuristic Search AAAI 2020
Cakewalk Sampling AAAI 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020
Safe non-smooth black-box optimization with application to policy search L4DC 2020
Learning nonlinear dynamical systems from a single trajectory L4DC 2020
Optimistic robust linear quadratic dual control L4DC 2020
Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate Regularization WACV 2020
Efficient Rollout Strategies for Bayesian Optimization UAI 2020
GENO -- GENeric Optimization for Classical Machine Learning NIPS 2019
Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines AAAI 2019