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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)

Validating Causal Inference Models via Influence Functions ICML 2019 Value-based Search in Execution Space for Mapping Instructions to Programs NAACL 2019 Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019 Variance-based Regularization with Convex Objectives JMLR 2019 Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction ACL 2019 Variance Reduced Policy Evaluation with Smooth Function Approximation NeurIPS 2019 Variance Reduction for Matrix Games NeurIPS 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments ICLR 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 Variational Annealing of GANs: A Langevin Perspective ICML 2019 Variational Autoencoders Pursue PCA Directions (by Accident) CVPR 2019 Variational Autoencoder with Implicit Optimal Priors AAAI 2019 Variational Bayesian Decision-making for Continuous Utilities NeurIPS 2019 Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019 Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function Interspeech 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Variational Bayesian Phylogenetic Inference ICLR 2019 Variational Bayes under Model Misspecification NeurIPS 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Variational Domain Adversarial Learning for Speaker Verification Interspeech 2019 Variational Few-Shot Learning ICCV 2019 Variational Implicit Processes ICML 2019