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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)

Using Constraint Solvers to Construct Binary Codes with Good Error Correction Performance AAAI 2026 Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation ACL 2026 Validating Automatic Evaluation of Controllable Counterspeech Generation: Rankings Matter More Than Scores EACL 2026 Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization UAI 2026 Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method ALT 2026 Variance reduction combining pre-experiment and in-experiment data CLeaR 2026 Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems UAI 2026 Variance Reduction via Resampling and Experience Replay AAAI 2026 Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026 Variational Tail Bounds for Norms of Random Vectors and Matrices COLT 2026 Variation-Bounded Loss for Noise-Tolerant Learning AAAI 2026 VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation AAAI 2026 Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity ALT 2026 Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction AAAI 2026 Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning AAAI 2026 VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains AAAI 2026 Video and Language Alignment in 2D Systems for 3D Multi-object Scenes with Multi-Information Derivative-Free Control WACV 2026 VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning AAAI 2026 VOCAL: Visual Odometry via ContrAstive Learning WACV 2026 V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer AAAI 2026 Warm-starting active-set solvers using graph neural networks L4DC 2026 Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation UAI 2026 Wasserstein Policy Learning for Distributional Outcomes COLT 2026 WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM Watermarking AAAI 2026 WaveC2R: Wavelet-Driven Coarse-to-Refined Hierarchical Learning for Radar Retrieval AAAI 2026