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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)

CoNSoLe: Convex Neural Symbolic Learning NeurIPS 2022 Constants Matter: The Performance Gains of Active Learning ICML 2022 Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks ICML 2022 Constrained Langevin Algorithms with L-mixing External Random Variables NeurIPS 2022 Constrained Offline Policy Optimization ICML 2022 Constrained Physical-Statistics Models for Dynamical System Identification and Prediction ICLR 2022 Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy NeurIPS 2022 Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data NeurIPS 2022 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NeurIPS 2022 Constraint-based graph network simulator ICML 2022 Constraint-based Multi-hop Question Answering with Knowledge Graph NAACL 2022 Constraints Penalized Q-learning for Safe Offline Reinforcement Learning AAAI 2022 Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics ICLR 2022 Contests to Incentivize a Target Group IJCAI 2022 Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022 Context-Based Dynamic Pricing with Partially Linear Demand Model NeurIPS 2022 Contextual Bandits with Knapsacks for a Conversion Model NeurIPS 2022 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets NeurIPS 2022 Contextual Information-Directed Sampling ICML 2022 Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022 Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions NeurIPS 2022 Continual Learning for Natural Language Generations with Transformer Calibration CoNLL 2022 Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions EMNLP 2022