Continuous Optimization
4,424 papers
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Papers
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
ICML 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
NeurIPS 2024
Infinite-Horizon Distributionally Robust Regret-Optimal Control
ICML 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance
NeurIPS 2024
Interaction-Force Transport Gradient Flows
NeurIPS 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
Invariant subspaces and PCA in nearly matrix multiplication time
NeurIPS 2024
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
ICML 2024
John Ellipsoids via Lazy Updates
NeurIPS 2024
Kernel-Based Evaluation of Conditional Biological Sequence Models
ICML 2024
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
ICML 2024
Kernel Semi-Implicit Variational Inference
ICML 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
AISTATS 2024
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems
L4DC 2024
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
CVPR 2024
Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes
CoRL 2024
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
NeurIPS 2024
Learning Discretized Neural Networks under Ricci Flow
JMLR 2024
Learning Distributions on Manifolds with Free-Form Flows
NeurIPS 2024
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
ICML 2024
Learning Elastic Costs to Shape Monge Displacements
NeurIPS 2024
Learning Iterative Reasoning through Energy Diffusion
ICML 2024
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression
IJCAI 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations
NeurIPS 2024
Learning Multiple Secrets in Mastermind
ICML 2024