← Core Methods
Machine Learning › Core Methods ›

Optimization

1184 directly classified papers

Papers per year

Papers

Sparse GCA and Thresholded Gradient Descent JMLR 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023
Alternately Optimized Graph Neural Networks ICML 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023
Multicalibration as Boosting for Regression ICML 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees ICML 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
Autoregressive Networks JMLR 2023
Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection 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
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
Embeddings at BLP-2023 Task 2: Optimizing Fine-Tuned Transformers with Cost-Sensitive Learning for Multiclass Sentiment Analysis EMNLP 2023
Towards Constituting Mathematical Structures for Learning to Optimize ICML 2023
MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction EMNLP 2023
Adaptive Estimation of Graphical Models under Total Positivity ICML 2023
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time ICML 2023
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching IJCNLP 2022