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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)

Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks ICML 2021 Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization ICML 2021 Accurate Point Cloud Registration with Robust Optimal Transport NeurIPS 2021 Accurate Post Training Quantization With Small Calibration Sets ICML 2021 A Central Limit Theorem for Differentially Private Query Answering NeurIPS 2021 AC-GC: Lossy Activation Compression with Guaranteed Convergence NeurIPS 2021 Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously ICML 2021 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms NeurIPS 2021 ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization AAAI 2021 A Cognitive Regularizer for Language Modeling ACL 2021 A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021 A Comparative Survey: Benchmarking for Pool-based Active Learning IJCAI 2021 A Comparison of Acoustic Correlates of Voice Quality Across Different Recording Devices: A Cautionary Tale Interspeech 2021 A Comprehensively Tight Analysis of Gradient Descent for PCA NeurIPS 2021 A Computationally Efficient Method for Learning Exponential Family Distributions NeurIPS 2021 A Conditional Generative Matching Model for Multi-lingual Reply Suggestion EMNLP 2021 A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo ICCV 2021 A constrained risk inequality for general losses AISTATS 2021 A Contextual Bandit Bake-off JMLR 2021 A Continuous Mapping For Augmentation Design NeurIPS 2021 A Contraction Approach to Model-based Reinforcement Learning AISTATS 2021 A Convergence Analysis of Gradient Descent on Graph Neural Networks NeurIPS 2021 Acoustic Echo Cancellation Using Deep Complex Neural Network with Nonlinear Magnitude Compression and Phase Information Interspeech 2021 Acoustic Echo Cancellation with Cross-Domain Learning Interspeech 2021