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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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2000
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Papers (including subtopics)

Write Dependency Disentanglement with HORAE OSDI 2020 X-CAL: Explicit Calibration for Survival Analysis NeurIPS 2020 Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020 YNU-HPCC at SemEval-2020 Task 7: Using an Ensemble BiGRU Model to Evaluate the Humor of Edited News Titles SemEval 2020 You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings ICLR 2020 You Only Train Once: Loss-Conditional Training of Deep Networks ICLR 2020 Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NeurIPS 2020 Zap Q-Learning With Nonlinear Function Approximation NeurIPS 2020 Zeno++: Robust Fully Asynchronous SGD ICML 2020 Zero-shot Entity Linking with Efficient Long Range Sequence Modeling EMNLP 2020 Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020 X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019 3D Backscatter Localization for Fine-Grained Robotics NSDI 2019 A2BCD: Asynchronous Acceleration with Optimal Complexity ICLR 2019 A Bandit Approach to Maximum Inner Product Search AAAI 2019 ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection SemEval 2019 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019 A Bayesian Approach for Sequence Tagging with Crowds EMNLP 2019 A Bayesian Approach to Robust Reinforcement Learning UAI 2019 A Bayesian Optimization Framework for Neural Network Compression ICCV 2019 A Bayesian Perspective on the Deep Image Prior CVPR 2019 ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019 A Benchmark for Interpretability Methods in Deep Neural Networks NeurIPS 2019 A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication JMLR 2019 Abstraction based Output Range Analysis for Neural Networks NeurIPS 2019