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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)

State-Based Disassembly Planning AAAI 2025 State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting IJCAI 2025 State Space Models are Provably Comparable to Transformers in Dynamic Token Selection ICLR 2025 State space models, emergence, and ergodicity: How many parameters are needed for stable predictions? L4DC 2025 Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering EMNLP 2025 Statistical Advantages of Perturbing Cosine Router in Mixture of Experts ICLR 2025 Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances ICML 2025 Statistical and Neural Methods for Hawaiian Orthography Modernization EMNLP 2025 Statistical Collusion by Collectives on Learning Platforms ICML 2025 Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images ICCV 2025 Statistical Deficiency for Task Inclusion Estimation ACL 2025 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Statistical Hypothesis Testing for Auditing Robustness in Language Models ICML 2025 Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation AISTATS 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025 Statistical Inference of Random Graphs With a Surrogate Likelihood Function JMLR 2025 Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces AISTATS 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval AAAI 2025 Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise ICML 2025 Statistical Significance of Feature Importance Rankings UAI 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction CVPR 2025 Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks ICLR 2025