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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)

Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NeurIPS 2021 Fractional Matchings under Preferences: Stability and Optimality IJCAI 2021 Fractional moment-preserving initialization schemes for training deep neural networks AISTATS 2021 Framing RNN as a kernel method: A neural ODE approach NeurIPS 2021 Frank-Wolfe with a Nearest Extreme Point Oracle COLT 2021 Frivolous Units: Wider Networks Are Not Really That Wide AAAI 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 From Label Smoothing to Label Relaxation AAAI 2021 From Local Pseudorandom Generators to Hardness of Learning COLT 2021 From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments ICML 2021 From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021 From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits NeurIPS 2021 From Rain Generation to Rain Removal CVPR 2021 From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CoRL 2021 Frugal Optimization for Cost-related Hyperparameters AAAI 2021 Fully Gap-Dependent Bounds for Multinomial Logit Bandit AISTATS 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Functional Variational Inference based on Stochastic Process Generators NeurIPS 2021 Functions with average smoothness: structure, algorithms, and learning COLT 2021 Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 Funnel Deep Complex U-Net for Phase-Aware Speech Enhancement Interspeech 2021 Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty CVPR 2021 Future Moment Assessment for Action Query WACV 2021 FVC: A New Framework Towards Deep Video Compression in Feature Space CVPR 2021