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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)

Learning Energy-based Model via Dual-MCMC Teaching NeurIPS 2023 Learning Energy-Based Prior Model with Diffusion-Amortized MCMC NeurIPS 2023 Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles L4DC 2023 Learning Exponential Families from Truncated Samples NeurIPS 2023 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023 Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023 Learning Fractals by Gradient Descent AAAI 2023 Learning Functional Distributions with Private Labels ICML 2023 Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023 Learning Globally Smooth Functions on Manifolds ICML 2023 Learning good interventions in causal graphs via covering UAI 2023 Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023 Learning Group Importance using the Differentiable Hypergeometric Distribution ICLR 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023 Learning Incoherent Light Emission Steering From Metasurfaces Using Generative Models WACV 2023 Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium IJCAI 2023 Learning in online MDPs: is there a price for handling the communicating case? UAI 2023 Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective NeurIPS 2023 Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head NeurIPS 2023 Learning Iterative Neural Optimizers for Image Steganography ICLR 2023 Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator CVPR 2023 Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023 Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition NeurIPS 2023 Learning Large-scale Neural Fields via Context Pruned Meta-Learning NeurIPS 2023