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Continuous Optimization

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Papers

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
Private Geometric Median NIPS 2024
Controlling Continuous Relaxation for Combinatorial Optimization NIPS 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
Parameter-free Clipped Gradient Descent Meets Polyak NIPS 2024
Document Alignment based on Overlapping Fixed-Length Segments ACL 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NIPS 2024
On the Power of Small-size Graph Neural Networks for Linear Programming NIPS 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NIPS 2024
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NIPS 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NIPS 2024
Quantum Algorithms for Non-smooth Non-convex Optimization NIPS 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NIPS 2024
Policy Mirror Descent with Lookahead NIPS 2024
Diffeomorphic interpolation for efficient persistence-based topological optimization NIPS 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NIPS 2024
The behavioral toolbox L4DC 2024
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NIPS 2024