Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Peptide Vaccine Design by Evolutionary Multi-Objective Optimization IJCAI 2024 Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception CoRL 2024 Perceptual Scales Predicted by Fisher Information Metrics ICLR 2024 PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator NeurIPS 2024 Performance Bounds for Active Binary Testing with Information Maximization ICML 2024 Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model ICLR 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024 Performative Prediction with Bandit Feedback: Learning through Reparameterization ICML 2024 Periodicity Decoupling Framework for Long-term Series Forecasting ICLR 2024 Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024 Personalized Abstractive Summarization by Tri-agent Generation Pipeline EACL 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 Perturb-and-Project: Differentially Private Similarities and Marginals ICML 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 Pessimistic Backward Policy for GFlowNets NeurIPS 2024 Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024 PFCA-Net: Pyramid Feature Fusion and Cross Content Attention Network for Automated Audio Captioning Interspeech 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024 PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024 PGODE: Towards High-quality System Dynamics Modeling ICML 2024 Physically Compatible 3D Object Modeling from a Single Image NeurIPS 2024