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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)

Probabilistic Multilevel Clustering via Composite Transportation Distance AISTATS 2019 Probabilistic Permutation Invariant Training for Speech Separation Interspeech 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling UAI 2019 Probabilistic Strategy Logic IJCAI 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ACL 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration NeurIPS 2019 Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019 Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations ICCV 2019 Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis ACL 2019 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm ICCV 2019 Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions NeurIPS 2019 Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019 Projection-Free Bandit Convex Optimization AISTATS 2019 Projection Free Online Learning over Smooth Sets AISTATS 2019 Projection onto Minkowski Sums with Application to Constrained Learning ICML 2019 Projections for Approximate Policy Iteration Algorithms ICML 2019 PROMT Systems for WMT 2019 Shared Translation Task ACL 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 2019 Propagation Mechanism for Deep and Wide Neural Networks CVPR 2019 Prosodic Characteristics of Mandarin Declarative and Interrogative Utterances in Parkinson’s Disease Interspeech 2019