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)

Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ICML 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024 InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management OSDI 2024 Infinite-Dimensional Diffusion Models JMLR 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024 Infinite Limits of Multi-head Transformer Dynamics NeurIPS 2024 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NeurIPS 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 InFoBench: Evaluating Instruction Following Ability in Large Language Models ACL 2024 Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy CoNLL 2024 Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression ICLR 2024 Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing ICML 2024 Information Extraction with Differentiable Beam Search on Graph RNNs COLING 2024 Information Processing Equalities and the Information–Risk Bridge JMLR 2024 Information Retention via Learning Supplemental Features ICLR 2024 Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 Information-theoretic generalization bounds for learning from quantum data COLT 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024 Information-theoretic Limits of Online Classification with Noisy Labels NeurIPS 2024 Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs COLT 2024 Infrared Small Target Detection with Scale and Location Sensitivity CVPR 2024