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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)

Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024 Convergence guarantees for adaptive model predictive control with kinky inference L4DC 2024 Convergence Guarantees for the DeepWalk Embedding on Block Models ICML 2024 Convergence of Bayesian Bilevel Optimization ICLR 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024 Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions ICML 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning ICML 2024 Convexity Certificates for Symbolic Tensor Expressions IJCAI 2024 Convex neural network synthesis for robustness in the 1-norm L4DC 2024 Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees ECCV 2024 Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time ICML 2024 Convolutional Deep Kernel Machines ICLR 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data ICML 2024 Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents NeurIPS 2024 Cooperative Graph Neural Networks ICML 2024 COPAL: Continual Pruning in Large Language Generative Models ICML 2024 Copula Conformal prediction for multi-step time series prediction ICLR 2024 CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT MLHC 2024 Coreset Markov chain Monte Carlo AISTATS 2024 Correct and Optimal: The Regular Expression Inference Challenge IJCAI 2024 Correcting Diffusion Generation through Resampling CVPR 2024