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Optimization

1184 directly classified papers

Papers per year

Papers

Dimensionality Reduction for General KDE Mode Finding ICML 2023
Hindsight Learning for MDPs with Exogenous Inputs ICML 2023
Motion Information Propagation for Neural Video Compression CVPR 2023
CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023
Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting CVPR 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023
Autoregressive Networks JMLR 2023
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring CVPR 2023
Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning JMLR 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling CVPR 2023
A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization CVPR 2023
On Biased Compression for Distributed Learning JMLR 2023
Sparse GCA and Thresholded Gradient Descent JMLR 2023
Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023