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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)

Orthographic-Perspective Epipolar Geometry ICCV 2021 OTA: Optimal Transport Assignment for Object Detection CVPR 2021 OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport AAAI 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021 Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? Interspeech 2021 Out-of-Distribution Generalization in Kernel Regression NeurIPS 2021 Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021 Outside Computation with Superior Functions NAACL 2021 Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NeurIPS 2021 Overcoming the Convex Barrier for Simplex Inputs NeurIPS 2021 Overlapping Spaces for Compact Graph Representations NeurIPS 2021 Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction AAAI 2021 Overparameterisation and worst-case generalisation: friend or foe? ICLR 2021 Overparameterization Improves Robustness to Covariate Shift in High Dimensions NeurIPS 2021 OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots AAAI 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021 PAC Confidence Predictions for Deep Neural Network Classifiers ICLR 2021 PAC-Learning for Strategic Classification ICML 2021 PAC Learning of Causal Trees with Latent Variables AAAI 2021 PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021