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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)

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics NeurIPS 2024 Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations ICML 2024 Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation NeurIPS 2024 Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness NeurIPS 2024 Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms ICML 2024 Stability and L2-penalty in Model Averaging JMLR 2024 Stability-Informed Initialization of Neural Ordinary Differential Equations ICML 2024 Stabilized Proximal-Point Methods for Federated Optimization NeurIPS 2024 Stabilizing Backpropagation Through Time to Learn Complex Physics ICLR 2024 Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling NeurIPS 2024 Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process ICML 2024 Stable Anisotropic Regularization ICLR 2024 Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024 StableMask: Refining Causal Masking in Decoder-only Transformer ICML 2024 Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NeurIPS 2024 Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data ICLR 2024 StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization ICML 2024 Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns ICLR 2024 Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training NeurIPS 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 STARC: A General Framework For Quantifying Differences Between Reward Functions ICLR 2024 State-free Reinforcement Learning NeurIPS 2024 State Space Models on Temporal Graphs: A First-Principles Study NeurIPS 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024