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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)

CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation AAAI 2024 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 Classification Diffusion Models: Revitalizing Density Ratio Estimation NeurIPS 2024 Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 CLFFRD: Curriculum Learning and Fine-grained Fusion for Multimodal Rumor Detection COLING 2024 CLOMO: Counterfactual Logical Modification with Large Language Models ACL 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation NeurIPS 2024 Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024 Closing the Curious Case of Neural Text Degeneration ICLR 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 CLOSURE: Fast Quantification of Pose Uncertainty Sets RSS 2024 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024 Clustered Federated Learning via Gradient-based Partitioning ICML 2024 Clustering in Causal Attention Masking NeurIPS 2024 Clustering Items From Adaptively Collected Inconsistent Feedback AISTATS 2024 Clustering with Non-adaptive Subset Queries NeurIPS 2024 CMACE: CMAES-based Counterfactual Explanations for Black-box Models IJCAI 2024 CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024 CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024 Coarse-to-Fine Concept Bottleneck Models NeurIPS 2024 CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024 CoBo: Collaborative Learning via Bilevel Optimization NeurIPS 2024 CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending ACL 2024