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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)

Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Distributed Nonparametric Regression under Communication Constraints ICML 2018 Distributed Pareto Optimization for Subset Selection IJCAI 2018 Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 Distributed Prioritized Experience Replay ICLR 2018 Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters JMLR 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Distributed Stochastic Optimization via Adaptive SGD NeurIPS 2018 Distributed Weight Consolidation: A Brain Segmentation Case Study NeurIPS 2018 Distributing Frank-Wolfe via Map-Reduce IJCAI 2018 Distribution-Specific Hardness of Learning Neural Networks JMLR 2018 Divide-and-Conquer for Debiased l_1-norm Support Vector Machine in Ultra-high Dimensions JMLR 2018 Divide and Conquer Networks ICLR 2018 DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation Interspeech 2018 Do GANs learn the distribution? Some Theory and Empirics ICLR 2018 Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items EMNLP 2018 Do Less, Get More: Streaming Submodular Maximization with Subsampling NeurIPS 2018 Don't Decay the Learning Rate, Increase the Batch Size ICLR 2018 Do Outliers Ruin Collaboration? ICML 2018 Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings Interspeech 2018 Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences NeurIPS 2018 DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018 Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NeurIPS 2018