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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)

Towards Robust Neural Machine Translation ACL 2018 Towards Sample Efficient Reinforcement Learning IJCAI 2018 Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation EMNLP 2018 Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NeurIPS 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation NeurIPS 2018 Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018 Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018 Training Deep Models Faster with Robust, Approximate Importance Sampling NeurIPS 2018 Training Deep Neural Networks with 8-bit Floating Point Numbers NeurIPS 2018 Training DNNs with Hybrid Block Floating Point NeurIPS 2018 Training GANs with Optimism ICLR 2018 Training Gaussian Mixture Models at Scale via Coresets JMLR 2018 Training Neural Networks Using Features Replay NeurIPS 2018 Training Recurrent Neural Network through Moment Matching for NLP Applications Interspeech 2018 Training Structured Prediction Energy Networks with Indirect Supervision NAACL 2018 Trajectory Optimization On Manifolds with Applications to SO(3) and R3XS2 RSS 2018 Transfer Learning with Neural AutoML NeurIPS 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 Transformation Autoregressive Networks ICML 2018 Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism IJCAI 2018 Tree-based Bayesian Mixture Model for Competing Risks AISTATS 2018 Tropical Geometry of Deep Neural Networks ICML 2018 Tübingen-Oslo Team at the VarDial 2018 Evaluation Campaign: An Analysis of N-gram Features in Language Variety Identification COLING 2018 Turing: A Language for Flexible Probabilistic Inference AISTATS 2018 Twist Bytes - German Dialect Identification with Data Mining Optimization COLING 2018