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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) ICML 2024 Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration ACL 2024 Confounders in Instance Variation for the Analysis of Data Contamination ACL 2024 Confronting Reward Model Overoptimization with Constrained RLHF ICLR 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024 Conjugate Bayesian Two-step Change Point Detection for Hawkes Process NeurIPS 2024 Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ICLR 2024 Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing NAACL 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Consecutive Batch Model Editing with HooK Layers EMNLP 2024 Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training ICLR 2024 Consistency Diffusion Bridge Models NeurIPS 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024 Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR 2024 Consistency of Neural Causal Partial Identification NeurIPS 2024 Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion ICLR 2024 Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024 Consistent Adversarially Robust Linear Classification: Non-Parametric Setting ICML 2024 Consistent algorithms for multi-label classification with macro-at-k metrics ICLR 2024 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024 Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data ICML 2024 Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024 Consistent Joint Decision-Making with Heterogeneous Learning Models EACL 2024 Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024