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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)

State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits IJCAI 2021 StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling AAAI 2021 State Relevance for Off-Policy Evaluation ICML 2021 State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021 Statistical Estimation from Dependent Data ICML 2021 Statistical guarantees for generative models without domination ALT 2021 Statistical guarantees for local graph clustering JMLR 2021 Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs JMLR 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Statistical inference for individual fairness ICLR 2021 Statistical Inference with M-Estimators on Adaptively Collected Data NeurIPS 2021 Statistically Consistent Saliency Estimation ICCV 2021 Statistically robust neural network classification UAI 2021 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings EMNLP 2021 Statistical mechanical analysis of neural network pruning UAI 2021 Statistical Query Algorithms and Low Degree Tests Are Almost Equivalent COLT 2021 Statistical Query Lower Bounds for List-Decodable Linear Regression NeurIPS 2021 Statistical Query Lower Bounds for Tensor PCA JMLR 2021 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NeurIPS 2021 Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NeurIPS 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021 StereoRel: Relational Triple Extraction from a Stereoscopic Perspective ACL 2021 STL-SGD: Speeding Up Local SGD with Stagewise Communication Period AAAI 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NeurIPS 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021