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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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'25

Papers (including subtopics)

Factual Knowledge Assessment of Language Models Using Distractors COLING 2025 Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations ACL 2025 FADE: Why Bad Descriptions Happen to Good Features ACL 2025 Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference CoRL 2025 FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation ICML 2025 Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective ICML 2025 Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree AAAI 2025 False Coverage Proportion Control for Conformal Prediction ICML 2025 Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization ICML 2025 Fast Algorithm for Constrained Linear Inverse Problems JMLR 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025 Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play COLT 2025 Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity ICML 2025 Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks L4DC 2025 Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage ICLR 2025 Fast and Synchronous Crash Consistency with Metadata Write-Once File System OSDI 2025 Fast Bayesian Optimization of Function Networks with Partial Evaluations AutoML 2025 Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025 Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition AAAI 2025 Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler ALT 2025 Fast Convergence of Softmax Policy Mirror Ascent AISTATS 2025 FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models EMNLP 2025 Faster Algorithms for Agnostically Learning Disjunctions and their Implications COLT 2025 Faster Algorithms for Structured Linear and Kernel Support Vector Machines ICLR 2025 Faster Cascades via Speculative Decoding ICLR 2025