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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)

A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026 An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression UAI 2026 Anchor-Driven Nyström for Deep Graph-Level Clustering AAAI 2026 An Empirical Bayes Perspective on Heteroskedastic Mean Estimation COLT 2026 An Empirical Study of Speculative Decoding for Small Language Models EACL 2026 An Exponential Lower Bound for Spectral Density Estimation on Unweighted Graphs COLT 2026 Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks AAAI 2026 An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses AAAI 2026 An Information Theoretic Evaluation Metric for Strong Unlearning AAAI 2026 An Information-Theoretic Study of RLHF-Induced Uniformity in Large Language Model Outputs CoNLL 2026 An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026 An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning UAI 2026 A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction AAAI 2026 A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes ALT 2026 AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code AAAI 2026 A Perfectly Truthful Calibration Measure COLT 2026 APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract) AAAI 2026 A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026 Approximating Problems in Abstract Argumentation with Graph Convolutional Networks (Abstract Reprint) AAAI 2026 Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM UAI 2026 A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance COLT 2026 A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models EACL 2026 A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026 Are Language Models Any Good at Density Modeling? AAAI 2026