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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)

Learning with Simulators: No Regret in a Computationally Bounded World COLT 2026 Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs AAAI 2026 Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026 Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models AAAI 2026 Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving AAAI 2026 Leveraging Similarities in Multi-Armed Bandits COLT 2026 Leveraging Sparsity for Privacy in Collaborative Inference WACV 2026 Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance EACL 2026 LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026 Limitations of SGD for Multi-Index Models Beyond Statistical Queries COLT 2026 Linear Regression under Missing or Corrupted Coordinates COLT 2026 Linear Regression with Heteroskedastic Errors UAI 2026 LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid AAAI 2026 LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models AAAI 2026 LLMs Know More About Numbers than They Can Say EACL 2026 LLMSurgeon: Diagnosing Data Mixture of Large Language Models ACL 2026 LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoning AAAI 2026 Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026 Logical Characterizations of GNNs with Mean Aggregation AAAI 2026 Long-form RewardBench: Evaluating Reward Models for Long-form Generation AAAI 2026 LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs AAAI 2026 LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization WACV 2026 Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding EACL 2026 LORETTA: A Low Resource Framework to Poison Continuous Time Dynamic Graphs AAAI 2026 Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets AAAI 2026