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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)

Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning CVPR 2026 Reward Model Evaluation via Automatically-Ranked Policy Alignment AAAI 2026 Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026 RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization AAAI 2026 Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method COLT 2026 RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting AAAI 2026 Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (Extended Abstract) COLT 2026 RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing AAAI 2026 RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions AAAI 2026 Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise UAI 2026 Robust Causal Discovery Under Imperfect Structural Constraints AAAI 2026 Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience AAAI 2026 Robust Decision-Focused Learning via Worst-Case Regret Minimization UAI 2026 Robust High-Order Tensor Compressive Sensing Based on M-Estimators AAAI 2026 Robust Lazy Conflict Detection via Multi-Conflict Extraction and Genetic Diversity Control AAAI 2026 Robust Multiagent Combinatorial Path Finding AAAI 2026 Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors WACV 2026 Robust Transfer Learning With Side Information UAI 2026 Robust Watermarking on Gradient Boosting Decision Trees AAAI 2026 Robust Weighted Triangulation of Causal Effects Under Model Uncertainty UAI 2026 RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets EACL 2026 RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees AAAI 2026 Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs EACL 2026 RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language Models EACL 2026 RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026