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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Nonparametric Continuous Sensor Registration JMLR 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
Estimating the Lasso's Effective Noise JMLR 2021
Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021
Graph Matching with Partially-Correct Seeds JMLR 2021
Linear Bandits on Uniformly Convex Sets JMLR 2021
An Online Sequential Test for Qualitative Treatment Effects JMLR 2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions L4DC 2021
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
Data-driven design of switching reference governors for brake-by-wire applications L4DC 2021
Non-conservative Design of Robust Tracking Controllers Based on Input-output Data L4DC 2021
Optimal Algorithms for Submodular Maximization with Distributed Constraints L4DC 2021
Data-Driven Reachability Analysis Using Matrix Zonotopes L4DC 2021
Learning local modules in dynamic networks L4DC 2021
Data-Driven System Level Synthesis L4DC 2021
Learning Approximate Forward Reachable Sets Using Separating Kernels L4DC 2021
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021
Data-Driven Controller Design via Finite-Horizon Dissipativity L4DC 2021
Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach L4DC 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021