← Core Methods
Machine Learning › Core Methods ›

Optimization

1184 directly classified papers

Papers per year

Papers

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
Boosted Off-Policy Learning AISTATS 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Optimal and Private Learning from Human Response Data AISTATS 2023
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023
Joint Blind Source Separation and Dereverberation for Automatic Speech Recognition using Delayed-Subsource MNMF with Localization Prior INTERSPEECH 2023
Character alignment methods for dialect-to-standard normalization ACL 2023
BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task ACL 2023
Parametric Information Maximization for Generalized Category Discovery ICCV 2023
Towards Constituting Mathematical Structures for Learning to Optimize ICML 2023
Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization ICCV 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence ICCV 2023
Dimensionality Reduction for General KDE Mode Finding ICML 2023
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points ICML 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
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023