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Continuous Optimization

3,907 papers

Papers per year

6
38
155
367
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Papers

Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources NIPS 2022
Coresets for Relational Data and The Applications NIPS 2022
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats NIPS 2022
Will Bilevel Optimizers Benefit from Loops NIPS 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits NIPS 2022
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator NIPS 2022
Quasi-Newton Methods for Saddle Point Problems NIPS 2022
VectorAdam for Rotation Equivariant Geometry Optimization NIPS 2022
Differentiable Analog Quantum Computing for Optimization and Control NIPS 2022
Dynamic Tensor Product Regression NIPS 2022
Exploitability Minimization in Games and Beyond NIPS 2022
Misspecified Phase Retrieval with Generative Priors NIPS 2022
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders NIPS 2022
Scale-invariant Learning by Physics Inversion NIPS 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NIPS 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NIPS 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions NIPS 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing NIPS 2022
Convexity Certificates from Hessians NIPS 2022
Single Loop Gaussian Homotopy Method for Non-convex Optimization NIPS 2022
Fused Orthogonal Alternating Least Squares for Tensor Clustering NIPS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NIPS 2022