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)

SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text SemEval 2024 SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations ICLR 2024 Sing it, Narrate it: Quality Musical Lyrics Translation EMNLP 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 Single-Model Attribution of Generative Models Through Final-Layer Inversion ICML 2024 Single-Trajectory Distributionally Robust Reinforcement Learning ICML 2024 Sinkhorn Distance Minimization for Knowledge Distillation COLING 2024 SINR: Spline-enhanced implicit neural representation for multi-modal registration MIDL 2024 Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection ICML 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ICLR 2024 Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NeurIPS 2024 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024 Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NeurIPS 2024 SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models ICLR 2024 Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills ICML 2024 SkipPredict: When to Invest in Predictions for Scheduling NeurIPS 2024 skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024 Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NeurIPS 2024 SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NeurIPS 2024 Sliced Wasserstein Estimation with Control Variates ICLR 2024 Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates ICML 2024 Slicing Mutual Information Generalization Bounds for Neural Networks ICML 2024 Slicing Vision Transformer for Flexible Inference NeurIPS 2024 Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks ICML 2024