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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)

Post-Inference Prior Swapping ICML 2017 Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches IJCNLP 2017 Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search NeurIPS 2017 Practical Gauss-Newton Optimisation for Deep Learning ICML 2017 Predicting Head Pose from Speech with a Conditional Variational Autoencoder Interspeech 2017 Predicting User Activity Level In Point Processes With Mass Transport Equation NeurIPS 2017 Predicting with Distributions COLT 2017 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 Preference-based Teaching JMLR 2017 Preference-based Teaching of Unions of Geometric Objects ALT 2017 Preferential Bayesian Optimization ICML 2017 Preserving Distributional Information in Dialogue Act Classification EMNLP 2017 Preventing Gradient Explosions in Gated Recurrent Units NeurIPS 2017 Principal Variety Analysis CoRL 2017 Principles for Learning Controllable TTS from Annotated and Latent Variation Interspeech 2017 Probabilistic Completeness of Randomized Possibility Graphs Applied to Bipedal Walking in Semi-unstructured Environments RSS 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Probabilistic Line Searches for Stochastic Optimization JMLR 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Path Hamiltonian Monte Carlo ICML 2017 Probabilistic Submodular Maximization in Sub-Linear Time ICML 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Probability Bounds for Overlapping Coalition Formation IJCAI 2017 Probability Calibration Trees ACML 2017 Process-constrained batch Bayesian optimisation NeurIPS 2017