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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)

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023 Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths NeurIPS 2023 Stochastic Optimization for Spectral Risk Measures AISTATS 2023 Stochastic Optimization under Distributional Drift JMLR 2023 Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms IJCAI 2023 Stochastic Segmentation with Conditional Categorical Diffusion Models ICCV 2023 Stop-Gradient Softmax Loss for Deep Metric Learning AAAI 2023 Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023 Strategic Classification under Unknown Personalized Manipulation NeurIPS 2023 Strategic Data Sharing between Competitors NeurIPS 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Strategyproofness and Proportionality in Party-Approval Multiwinner Elections AAAI 2023 Streaming Active Learning with Deep Neural Networks ICML 2023 Strip-MLP: Efficient Token Interaction for Vision MLP ICCV 2023 Strong inductive biases provably prevent harmless interpolation ICLR 2023 Strong Lottery Ticket Hypothesis with ε–perturbation AISTATS 2023 Structural generalization in COGS: Supertagging is (almost) all you need EMNLP 2023 Structurally Restricted Fragments of Numeric Planning – a Complexity Analysis AAAI 2023 Structured Prediction with Stronger Consistency Guarantees NeurIPS 2023 Structured Pruning for Efficient Generative Pre-trained Language Models ACL 2023 Structured Voronoi Sampling NeurIPS 2023 Structure Learning with Adaptive Random Neighborhood Informed MCMC NeurIPS 2023