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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)

Nonparametric Bayesian Aggregation for Massive Data JMLR 2019 Nonparametric Bayesian Deep Networks with Local Competition ICML 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 Non-Parametric Priors For Generative Adversarial Networks ICML 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NeurIPS 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 Nonuniformity of P-values Can Occur Early in Diverging Dimensions JMLR 2019 Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach ICLR 2019 NOODL: Provable Online Dictionary Learning and Sparse Coding ICLR 2019 No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NeurIPS 2019 No-regret algorithms for online k-submodular maximization AISTATS 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT COLT 2019 Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation ICCV 2019 Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate IJCAI 2019 Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks AAAI 2019 Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models NeurIPS 2019 Numerical Optimization to AI, and Back AAAI 2019 Object Reachability via Swaps along a Line AAAI 2019 Observations on Darwiche and Pearl's Approach for Iterated Belief Revision IJCAI 2019 ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NeurIPS 2019 ODE-Inspired Network Design for Single Image Super-Resolution CVPR 2019 Offline Contextual Bandits with High Probability Fairness Guarantees NeurIPS 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019