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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)

Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning ICML 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NeurIPS 2019 First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise NeurIPS 2019 First-Order Adversarial Vulnerability of Neural Networks and Input Dimension ICML 2019 First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems ICML 2019 First order expansion of convex regularized estimators NeurIPS 2019 First-order methods almost always avoid saddle points: The case of vanishing step-sizes NeurIPS 2019 Fisher Efficient Inference of Intractable Models NeurIPS 2019 Fisher Information and Natural Gradient Learning in Random Deep Networks AISTATS 2019 Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NeurIPS 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Fixing the train-test resolution discrepancy NeurIPS 2019 Fixup Initialization: Residual Learning Without Normalization ICLR 2019 Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path ICCV 2019 FloWaveNet : A Generative Flow for Raw Audio ICML 2019 Flow-based Image-to-Image Translation with Feature Disentanglement NeurIPS 2019 Fluctuation-dissipation relations for stochastic gradient descent ICLR 2019 FOCNet: A Fractional Optimal Control Network for Image Denoising CVPR 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Focus Is All You Need: Loss Functions for Event-Based Vision CVPR 2019 Forecasting Firm Material Events from 8-K Reports EMNLP 2019 Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition Interspeech 2019