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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)

Bandit Learning in Concave N-Person Games NeurIPS 2018 Bandit Learning with Implicit Feedback NeurIPS 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Bandit Regret Scaling with the Effective Loss Range ALT 2018 Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018 Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP ACL 2018 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018 Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018 Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018 Batch IS NOT Heavy: Learning Word Representations From All Samples ACL 2018 Batch Normalized Deep Boltzmann Machines ACML 2018 Bayesian Alignments of Warped Multi-Output Gaussian Processes NeurIPS 2018 Bayesian Approaches to Distribution Regression AISTATS 2018 Bayesian Compression for Natural Language Processing EMNLP 2018 Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018 Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent ICML 2018 Bayesian Distributed Stochastic Gradient Descent NeurIPS 2018 Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CoRL 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors NeurIPS 2018 Bayesian Model Selection for Change Point Detection and Clustering ICML 2018 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018 Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Bayesian Optimization of Combinatorial Structures ICML 2018