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)

Scaling physics-informed hard constraints with mixture-of-experts ICLR 2024 Scaling Properties of Speech Language Models EMNLP 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Scaling Supervised Local Learning with Augmented Auxiliary Networks ICLR 2024 Scaling the Convex Barrier with Sparse Dual Algorithms JMLR 2024 Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024 Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild CVPR 2024 Scaling Up Unbiased Search-based Symbolic Regression IJCAI 2024 SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models EMNLP 2024 Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency ICML 2024 Schrodinger Bridge Flow for Unpaired Data Translation NeurIPS 2024 Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy COLING 2024 SCOD: From Heuristics to Theory ECCV 2024 Score-based 3D molecule generation with neural fields NeurIPS 2024 Score-Based Causal Discovery of Latent Variable Causal Models ICML 2024 Score-based generative models are provably robust: an uncertainty quantification perspective NeurIPS 2024 Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions ICLR 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024 Score Operator Newton transport AISTATS 2024 Score-Optimal Diffusion Schedules NeurIPS 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort NAACL 2024 SCP: Spherical-Coordinate-Based Learned Point Cloud Compression AAAI 2024 SDAEC: Signal Decoupling for Advancing Acoustic Echo Cancellation Interspeech 2024 SDEs for Minimax Optimization AISTATS 2024