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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)

ModelDiff: A Framework for Comparing Learning Algorithms ICML 2023 Model-free Posterior Sampling via Learning Rate Randomization NeurIPS 2023 Model-Free Reinforcement Learning with the Decision-Estimation Coefficient NeurIPS 2023 Model-Free Robust Average-Reward Reinforcement Learning ICML 2023 Modeling content creator incentives on algorithm-curated platforms ICLR 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS 2023 Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023 Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field ACL 2023 Modeling Stroke Mask for End-to-End Text Erasing WACV 2023 Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion ICML 2023 Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization ICLR 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 Modeling the Impact of Policy Interventions for Sustainable Development IJCAI 2023 Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process ACL 2023 Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning CVPR 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency ACL 2023 ModelKeeper: Accelerating DNN Training via Automated Training Warmup NSDI 2023 Modelling the Reduplicating Lushootseed Morphology with an FST and LSTM ACL 2023 Model Predictive Control with Reach-avoid Analysis IJCAI 2023 Model Shapley: Equitable Model Valuation with Black-box Access NeurIPS 2023 Model-X Sequential Testing for Conditional Independence via Testing by Betting AISTATS 2023 Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning ICLR 2023 Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023