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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)

MEOW - Multi-Objective Evolutionary Weapon Detection AutoML 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning NeurIPS 2023 Meta-Auxiliary Learning for Future Depth Prediction in Videos WACV 2023 MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning NeurIPS 2023 Meta-Causal Learning for Single Domain Generalization CVPR 2023 Meta-Learning for Simple Regret Minimization AAAI 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 Meta-Learning Online Adaptation of Language Models EMNLP 2023 Meta-Learning with Adjoint Methods AISTATS 2023 Meta-Learning With a Geometry-Adaptive Preconditioner CVPR 2023 MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation CVPR 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023 MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement ICML 2023 Metric Score Landscape Challenge (MSLC23): Understanding Metrics’ Performance on a Wider Landscape of Translation Quality EMNLP 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023 Metropolis Sampling for Constrained Diffusion Models NeurIPS 2023 MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods ICML 2023 MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery ICCV 2023 MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting ICLR 2023 Microcanonical Hamiltonian Monte Carlo JMLR 2023 Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023 Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension NeurIPS 2023 Mini-batch k-means terminates within O(d/ε) iterations ICLR 2023