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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)

Breaking Locality Accelerates Block Gauss-Seidel ICML 2017 Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017 Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NeurIPS 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Bridging Supervised Learning and Test-Based Co-optimization JMLR 2017 Cake Cutting: Envy and Truth IJCAI 2017 Calibration Approaches for Language Detection Interspeech 2017 Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NeurIPS 2017 Canopy Fast Sampling with Cover Trees ICML 2017 Cascade Dynamics Modeling with Attention-based Recurrent Neural Network IJCAI 2017 CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract) IJCAI 2017 Certifiably Optimal Low Rank Factor Analysis JMLR 2017 Certified Defenses for Data Poisoning Attacks NeurIPS 2017 CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017 Classical Generalized Probabilistic Satisfiability IJCAI 2017 Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017 Clustering Stable Instances of Euclidean k-means. NeurIPS 2017 Coarse-to-Fine Lifted MAP Inference in Computer Vision IJCAI 2017 Co-clustering through Optimal Transport ICML 2017 Coded Distributed Computing for Inverse Problems NeurIPS 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017 Collaborative Clustering: Sample Complexity and Efficient Algorithms ALT 2017 Collaborative Deep Learning in Fixed Topology Networks NeurIPS 2017 Collaborative PAC Learning NeurIPS 2017