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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)

PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks AAAI 2026 PIRA: Preference-Oriented Instruction-Tuned Reward Models with Dual Aggregation EACL 2026 Plasticity vs. Rigidity: The Impact of Low-Rank Adapters on Reasoning on a Micro-Budget EACL 2026 Plug-and-Play Optimization for 3D Gaussian Splatting Compression: Distribution Regularization, Probabilistic Pruning and Detail Compensation AAAI 2026 PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems CVPR 2026 POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs EACL 2026 Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access AAAI 2026 Policy Newton Methods for Distortion Riskmetrics AAAI 2026 Policy Optimization for Unknown Systems using Differentiable MPC L4DC 2026 Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers EACL 2026 Positive Definite Sparse Covariance Estimation via Dual Space Optimization AAAI 2026 Posterior Label Smoothing for Node Classification AAAI 2026 Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis AAAI 2026 PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning AAAI 2026 Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 Precise Performance of Linear Denoisers in The Proportional Regime L4DC 2026 PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation AAAI 2026 Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model AAAI 2026 Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback AAAI 2026 Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator AAAI 2026 Preference Robustness for DPO with Applications to Public Health AAAI 2026 Pre-Trained Video Generative Models as World Simulators AAAI 2026 Price of metric universality in vector quantization is at most 0.11 bit COLT 2026 Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation CVPR 2026 PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026