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Continuous Optimization

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Linear Time Approximation Algorithm for Column Subset Selection with Local Search NIPS 2024
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise NIPS 2024
Constrained Diffusion with Trust Sampling NIPS 2024
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NIPS 2024
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NIPS 2024
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels NIPS 2024
Learning Elastic Costs to Shape Monge Displacements NIPS 2024
A Framework for Bilevel Optimization on Riemannian Manifolds NIPS 2024
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NIPS 2024
Constant Acceleration Flow NIPS 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NIPS 2024
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NIPS 2024
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
Accelerating ERM for data-driven algorithm design using output-sensitive techniques NIPS 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization NIPS 2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NIPS 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NIPS 2024
OPEL: Optimal Transport Guided ProcedurE Learning NIPS 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NIPS 2024
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NIPS 2024