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

Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components NeurIPS 2021 Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021 Approximate Midpoint Policy Iteration for Linear Quadratic Control L4DC 2021 Approximate Newton Methods JMLR 2021 Approximate optimization of convex functions with outlier noise NeurIPS 2021 Approximating a Distribution Using Weight Queries ICML 2021 Approximation algorithm for submodular maximization under submodular cover UAI 2021 Approximation Theory Based Methods for RKHS Bandits ICML 2021 Approximation Theory of Convolutional Architectures for Time Series Modelling ICML 2021 A Precise Performance Analysis of Support Vector Regression ICML 2021 A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments AAAI 2021 A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021 A Probabilistic Approach to Neural Network Pruning ICML 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NeurIPS 2021 A Provably Efficient Sample Collection Strategy for Reinforcement Learning NeurIPS 2021 A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy RSS 2021 Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021 A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021 Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization EMNLP 2021 A Regret Minimization Approach to Iterative Learning Control ICML 2021 A regularization term for slide correlation reduction in whole slide image analysis with deep learning MIDL 2021 Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training NeurIPS 2021 Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense EACL 2021 A Review of Human Evaluation for Style Transfer ACL 2021