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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)

Variational inference via Wasserstein gradient flows NeurIPS 2022 Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022 Variational Learning for Unsupervised Knowledge Grounded Dialogs IJCAI 2022 Variational Marginal Particle Filters AISTATS 2022 Variational methods for simulation-based inference ICLR 2022 Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics ICML 2022 Variational Model Perturbation for Source-Free Domain Adaptation NeurIPS 2022 Variational multiple shooting for Bayesian ODEs with Gaussian processes UAI 2022 Variational nearest neighbor Gaussian process ICML 2022 Variational Neural Cellular Automata ICLR 2022 Variational Wasserstein gradient flow ICML 2022 VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty ICML 2022 VC dimension of partially quantized neural networks in the overparametrized regime ICLR 2022 VECA: A New Benchmark and Toolkit for General Cognitive Development AAAI 2022 VectorAdam for Rotation Equivariant Geometry Optimization NeurIPS 2022 Verification and search algorithms for causal DAGs NeurIPS 2022 Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022 Verified Path Following Using Neural Control Lyapunov Functions CoRL 2022 Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022 VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition AISTATS 2022 VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning ICLR 2022 Virtual Elastic Objects CVPR 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 Vision Transformers provably learn spatial structure NeurIPS 2022 Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022