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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Accelerating Convergence in Bayesian Few-Shot Classification ICML 2024 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ICLR 2024 Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity NeurIPS 2024 Accelerating Diffusion Sampling with Optimized Time Steps CVPR 2024 Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024 Accelerating ERM for data-driven algorithm design using output-sensitive techniques NeurIPS 2024 Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling NeurIPS 2024 Accelerating Heterogeneous Federated Learning with Closed-form Classifiers ICML 2024 Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving ICML 2024 Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need ICML 2024 Accelerating Matroid Optimization through Fast Imprecise Oracles NeurIPS 2024 Accelerating Neural Recommendation Training with Embedding Scheduling NSDI 2024 Accelerating Non-Maximum Suppression: A Graph Theory Perspective NeurIPS 2024 Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024 Accelerating PDE Data Generation via Differential Operator Action in Solution Space ICML 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Accelerating Sinkhorn algorithm with sparse Newton iterations ICLR 2024 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values NeurIPS 2024 Acceleration of Posteriorgram-based DTW by Distilling the Class-to-class Distances Encoded in the Classifier Used to Calculate Posteriors Interspeech 2024 ACCL+: an FPGA-Based Collective Engine for Distributed Applications OSDI 2024 Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ICLR 2024 Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation NeurIPS 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) AAAI 2024