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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)

Adaptive stimulus selection for optimizing neural population responses NeurIPS 2017 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data IJCAI 2017 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NeurIPS 2017 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 A Distributional Perspective on Reinforcement Learning ICML 2017 A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI ICML 2017 ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NeurIPS 2017 A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems CVPR 2017 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction IJCAI 2017 Adversarial Surrogate Losses for Ordinal Regression NeurIPS 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017 A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation RSS 2017 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 Affordable On-line Dialogue Policy Learning EMNLP 2017 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 A Framework for Optimal Matching for Causal Inference AISTATS 2017 A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing ACL 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 A General Characterization of the Statistical Query Complexity COLT 2017 A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017 A Generative Model for Score Normalization in Speaker Recognition Interspeech 2017 A graph-theoretic approach to multitasking NeurIPS 2017 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017 A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017