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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)

Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018 Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 Accurate Inference for Adaptive Linear Models ICML 2018 Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018 Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018 A Convex Duality Framework for GANs NeurIPS 2018 Acoustic Modeling with DFSMN-CTC and Joint CTC-CE Learning Interspeech 2018 Acoustic-Prosodic Features of Tabla Bol Recitation and Correspondence with the Tabla Imitation Interspeech 2018 Action-dependent Control Variates for Policy Optimization via Stein Identity ICLR 2018 Activation Maximization Generative Adversarial Nets ICLR 2018 Actively Avoiding Nonsense in Generative Models COLT 2018 Active Tolerant Testing COLT 2018 Adaboost with Auto-Evaluation for Conversational Models IJCAI 2018 Adafactor: Adaptive Learning Rates with Sublinear Memory Cost ICML 2018 AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018 Adaptation to Easy Data in Prediction with Limited Advice NeurIPS 2018 Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems AISTATS 2018 Adaptive Dropout with Rademacher Complexity Regularization ICLR 2018 Adaptive Learning with Unknown Information Flows NeurIPS 2018 Adaptive Methods for Nonconvex Optimization NeurIPS 2018 Adaptive Multi-pass Decoder for Neural Machine Translation EMNLP 2018 Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NeurIPS 2018 Adaptive Online Learning in Dynamic Environments NeurIPS 2018 Adaptive Sampled Softmax with Kernel Based Sampling ICML 2018 Adaptive Sampling Towards Fast Graph Representation Learning NeurIPS 2018