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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)

Stop Measuring Calibration When Humans Disagree EMNLP 2022 Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk ICML 2022 Strategies to Improve Robustness of Target Speech Extraction to Enrollment Variations Interspeech 2022 Strategizing against Learners in Bayesian Games COLT 2022 Strategy Proof Mechanisms for Facility Location with Capacity Limits IJCAI 2022 Streaming Algorithms for High-Dimensional Robust Statistics ICML 2022 Streaming Align-Refine for Non-autoregressive Deliberation Interspeech 2022 Streaming Inference for Infinite Feature Models ICML 2022 Strength of Minibatch Noise in SGD ICLR 2022 Strictly Proper Contract Functions Can Be Arbitrage-Free AAAI 2022 Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks ACL 2022 Strong Gaussian Approximation for the Sum of Random Vectors COLT 2022 Strong Memory Lower Bounds for Learning Natural Models COLT 2022 Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts NeurIPS 2022 Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NeurIPS 2022 Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation EMNLP 2022 Structural Pruning via Latency-Saliency Knapsack NeurIPS 2022 Structure-adaptive Manifold Estimation JMLR 2022 Structured Energy Network As a Loss NeurIPS 2022 Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022 Structured Stochastic Gradient MCMC ICML 2022 Structure-Preserving Learning Using Gaussian Processes and Variational Integrators L4DC 2022 Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation ICML 2022 Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NeurIPS 2022 SubER - A Metric for Automatic Evaluation of Subtitle Quality ACL 2022