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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)

Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023 Neural Simulated Annealing AISTATS 2023 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023 Neural Stochastic Differential Games for Time-series Analysis ICML 2023 Neural tangent kernel at initialization: linear width suffices UAI 2023 Neural (Tangent Kernel) Collapse NeurIPS 2023 Neural TSP Solver with Progressive Distillation AAAI 2023 Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels ICML 2023 Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks ICML 2023 Neural Weight Search for Scalable Task Incremental Learning WACV 2023 Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks MLHC 2023 Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines AAAI 2023 NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs EMNLP 2023 NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation CVPR 2023 Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective ICML 2023 New Algorithms for the Fair and Efficient Allocation of Indivisible Chores IJCAI 2023 New Bounds for Hyperparameter Tuning of Regression Problems Across Instances NeurIPS 2023 New Complexity-Theoretic Frontiers of Tractability for Neural Network Training NeurIPS 2023 New metrics and search algorithms for weighted causal DAGs ICML 2023 NewsDialogues: Towards Proactive News Grounded Conversation ACL 2023 NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP 2023 NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs NeurIPS 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023