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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)

Evaluating Topic Quality with Posterior Variability EMNLP 2019 Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations EMNLP 2019 Event Cameras, Contrast Maximization and Reward Functions: An Analysis CVPR 2019 Evolving Space-Time Neural Architectures for Videos ICCV 2019 Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables CVPR 2019 Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation AAAI 2019 Exact Gaussian Processes on a Million Data Points NeurIPS 2019 Exact inference in structured prediction NeurIPS 2019 Exact Rate-Distortion in Autoencoders via Echo Noise NeurIPS 2019 Exact sampling of determinantal point processes with sublinear time preprocessing NeurIPS 2019 Exchangeability and Kernel Invariance in Trained MLPs IJCAI 2019 Exclusivity Graph Approach to Instrumental Inequalities UAI 2019 Exemplar Based Mixture Models with Censored Data ACML 2019 Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech NAACL 2019 Experience Replay Optimization IJCAI 2019 Experimenting with Power Divergences for Language Modeling EMNLP 2019 Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation ICML 2019 Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NeurIPS 2019 Explanations can be manipulated and geometry is to blame NeurIPS 2019 Explanations for Query Answers under Existential Rules IJCAI 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019 Exploiting Commutativity For Practical Fast Replication NSDI 2019 Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators ALT 2019 Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019