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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)

Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022 Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022 Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022 Marginal Tail-Adaptive Normalizing Flows ICML 2022 Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes IJCAI 2022 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NeurIPS 2022 Masked Prediction: A Parameter Identifiability View NeurIPS 2022 Masked Training of Neural Networks with Partial Gradients AISTATS 2022 Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation ICML 2022 Massively Parallel k-Means Clustering for Perturbation Resilient Instances ICML 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 Matching Learned Causal Effects of Neural Networks with Domain Priors ICML 2022 Matching Normalizing Flows and Probability Paths on Manifolds ICML 2022 Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence NeurIPS 2022 Maximizing and Satisficing in Multi-armed Bandits with Graph Information NeurIPS 2022 Maximizing Ensemble Diversity in Deep Reinforcement Learning ICLR 2022 Maximizing Nash Social Welfare in 2-Value Instances AAAI 2022 Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors NeurIPS 2022 Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022 Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching ICML 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 Maxmin Participatory Budgeting IJCAI 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022 MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022