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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021 Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems NeurIPS 2021 ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions NeurIPS 2021 Partial Identifiability in Discrete Data with Measurement Error UAI 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection Interspeech 2021 Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021 Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NeurIPS 2021 Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks NeurIPS 2021 Partitioned Learned Bloom Filters ICLR 2021 Partition Function Estimation: A Quantitative Study IJCAI 2021 Partition-Guided GANs CVPR 2021 Passive learning of Timed Automata from logs (Student Abstract) AAAI 2021 Path-BN: Towards effective batch normalization in the Path Space for ReLU networks UAI 2021 Path Length Bounds for Gradient Descent and Flow JMLR 2021 Pathwise Conditioning of Gaussian Processes JMLR 2021 PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NeurIPS 2021 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021 PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021 PDE-Driven Spatiotemporal Disentanglement ICLR 2021 PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs AAAI 2021 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021