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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)

VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training ICML 2022 Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022 Volumetric-based Contact Point Detection for 7-DoF Grasping CoRL 2022 Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning OSDI 2022 Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography MIDL 2022 Wasserstein Adversarial Transformer for Cloud Workload Prediction AAAI 2022 Wasserstein GANs with Gradient Penalty Compute Congested Transport COLT 2022 Wasserstein Logistic Regression with Mixed Features NeurIPS 2022 WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NeurIPS 2022 Wavelet Score-Based Generative Modeling NeurIPS 2022 Weakly Supervised Word Segmentation for Computational Language Documentation ACL 2022 Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022 WeaNF”:" Weak Supervision with Normalizing Flows ACL 2022 Weighted Fairness Notions for Indivisible Items Revisited AAAI 2022 Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022 Weighted Training for Cross-Task Learning ICLR 2022 Weisfeiler-Lehman Meets Gromov-Wasserstein ICML 2022 Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks AAAI 2022 What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us? ICML 2022 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS 2022 What Do We Mean by Generalization in Federated Learning? ICLR 2022 What Do You Get When You Cross Beam Search with Nucleus Sampling? ACL 2022 What Happens after SGD Reaches Zero Loss? --A Mathematical Framework ICLR 2022 What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP 2022 What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS 2022