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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)

Convergence of Invariant Graph Networks ICML 2022 Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022 Convergence of online k-means AISTATS 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022 Convergence of Uncertainty Sampling for Active Learning ICML 2022 Convergence Rates for Gaussian Mixtures of Experts JMLR 2022 Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022 Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems L4DC 2022 Convergent Graph Solvers ICLR 2022 Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022 Convexity Certificates from Hessians NeurIPS 2022 Convolutional and Residual Networks Provably Contain Lottery Tickets ICML 2022 Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022 Cooperative Distribution Alignment via JSD Upper Bound NeurIPS 2022 Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization RSS 2022 Cooperative Online Learning in Stochastic and Adversarial MDPs ICML 2022 Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022 Coordinated Double Machine Learning ICML 2022 Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022 Coordinating Momenta for Cross-Silo Federated Learning AAAI 2022 CoPur: Certifiably Robust Collaborative Inference via Feature Purification NeurIPS 2022 Coreset for Line-Sets Clustering NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems NeurIPS 2022