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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)

Collaborative Summarization of Topic-Related Videos CVPR 2017 Collapsed variational Bayes for Markov jump processes NeurIPS 2017 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Collecting Telemetry Data Privately NeurIPS 2017 Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017 Combinatorial Topic Models using Small-Variance Asymptotics AISTATS 2017 Combined Group and Exclusive Sparsity for Deep Neural Networks ICML 2017 Combined Multi-Channel NMF-Based Robust Beamforming for Noisy Speech Recognition Interspeech 2017 Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition EMNLP 2017 Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning ICML 2017 Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017 Communication-efficient Distributed Sparse Linear Discriminant Analysis AISTATS 2017 Communication-Efficient Learning of Deep Networks from Decentralized Data AISTATS 2017 Communication-efficient Sparse Regression JMLR 2017 Comparing Character-level Neural Language Models Using a Lexical Decision Task EACL 2017 Compressed Nonparametric Language Modelling IJCAI 2017 Compressed Sensing using Generative Models ICML 2017 Compression-aware Training of Deep Networks NeurIPS 2017 Computational Limits of A Distributed Algorithm for Smoothing Spline JMLR 2017 Computationally Efficient Robust Sparse Estimation in High Dimensions COLT 2017 Computer Assisted Composition with Recurrent Neural Networks ACML 2017 Computing an Approximately Optimal Agreeable Set of Items IJCAI 2017 Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces IJCAI 2017 Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization IJCNLP 2017 Concrete Dropout NeurIPS 2017