Continuous Optimization
4,424 papers
Papers per year
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Papers
Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension
JMLR 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
CVPR 2024
Quantitative Convergences of Lie Group Momentum Optimizers
NeurIPS 2024
Quantum algorithm for large-scale market equilibrium computation
NeurIPS 2024
Quantum Algorithm for Online Exp-concave Optimization
ICML 2024
Quantum Algorithms for Non-smooth Non-convex Optimization
NeurIPS 2024
Quantum Deep Equilibrium Models
NeurIPS 2024
Quantum Theory and Application of Contextual Optimal Transport
ICML 2024
Quasi-Monte Carlo Features for Kernel Approximation
ICML 2024
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
NeurIPS 2024
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
NeurIPS 2024
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
ICML 2024
Random features approximation for control-affine systems
L4DC 2024
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
ICML 2024
Random Scaling and Momentum for Non-smooth Non-convex Optimization
ICML 2024
Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment
IJCAI 2024
Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees
L4DC 2024
Reducing Balancing Error for Causal Inference via Optimal Transport
ICML 2024
Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection
COLING 2024
Reinforcement learning-driven parametric curve fitting for snake robot gait design
L4DC 2024
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
ICML 2024
Replicable Learning of Large-Margin Halfspaces
ICML 2024
ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning
CoRL 2024
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors
AISTATS 2024
Rethinking Human Motion Prediction with Symplectic Integral
CVPR 2024