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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)

Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018 Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach ACL 2018 Surprisingly Easy Hard-Attention for Sequence to Sequence Learning EMNLP 2018 Surprising properties of dropout in deep networks JMLR 2018 Synthesizing realistic neural population activity patterns using Generative Adversarial Networks ICLR 2018 Systematic Study of Long Tail Phenomena in Entity Linking COLING 2018 Taylor’s law for Human Linguistic Sequences ACL 2018 Teacher Improves Learning by Selecting a Training Subset AISTATS 2018 Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series AISTATS 2018 Temporal Regularization for Markov Decision Process NeurIPS 2018 TensorCast: Forecasting Time-Evolving Networks with Contextual Information IJCAI 2018 Tensor Regression Meets Gaussian Processes AISTATS 2018 Testing for Families of Distributions via the Fourier Transform NeurIPS 2018 Testing Sparsity over Known and Unknown Bases ICML 2018 Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts EMNLP 2018 The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation ACL 2018 The Cluster Description Problem - Complexity Results, Formulations and Approximations NeurIPS 2018 The committee machine: Computational to statistical gaps in learning a two-layers neural network NeurIPS 2018 The Context-Dependent Additive Recurrent Neural Net NAACL 2018 The Convergence of Sparsified Gradient Methods NeurIPS 2018 The Description Length of Deep Learning models NeurIPS 2018 The Dynamics of Learning: A Random Matrix Approach ICML 2018 The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference ICML 2018 The emergence of multiple retinal cell types through efficient coding of natural movies NeurIPS 2018 The emergence of spectral universality in deep networks AISTATS 2018