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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)

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019 Combinatorial Algorithms for Optimal Design COLT 2019 Combinatorial Bandits with Relative Feedback NeurIPS 2019 Combining 3D Morphable Models: A Large Scale Face-And-Head Model CVPR 2019 Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019 Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019 Combining Online Learning Guarantees COLT 2019 Combining parametric and nonparametric models for off-policy evaluation ICML 2019 Communication and Memory Efficient Testing of Discrete Distributions COLT 2019 Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019 Communication-Constrained Inference and the Role of Shared Randomness ICML 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NeurIPS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019 Communication-efficient Distributed SGD with Sketching NeurIPS 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Communication-Optimal Distributed Dynamic Graph Clustering AAAI 2019 Communication trade-offs for Local-SGD with large step size NeurIPS 2019 Compact Representation of Value Function in Partially Observable Stochastic Games IJCAI 2019 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Comparing EM with GD in Mixture Models of Two Components UAI 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex NeurIPS 2019 Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR Interspeech 2019 Competence-based Curriculum Learning for Neural Machine Translation NAACL 2019 Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ICML 2019