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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)

ABC: A Simple Explicit Congestion Controller for Wireless Networks NSDI 2020 A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020 A Bilingual Generative Transformer for Semantic Sentence Embedding EMNLP 2020 Abstract Interpretation of Decision Tree Ensemble Classifiers AAAI 2020 Abstraction Mechanisms Predict Generalization in Deep Neural Networks ICML 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 A/B Testing in Dense Large-Scale Networks: Design and Inference NeurIPS 2020 A Cardinal Improvement to Pseudo-Boolean Solving AAAI 2020 A Catalyst Framework for Minimax Optimization NeurIPS 2020 Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020 Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization AISTATS 2020 Accelerated Message Passing for Entropy-Regularized MAP Inference ICML 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020 Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020 Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution AAAI 2020 Accelerating Gradient Boosting Machines AISTATS 2020 Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction AAAI 2020 Accelerating SGD with momentum for over-parameterized learning ICLR 2020 Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020 Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020 Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NeurIPS 2020 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020 Acceleration through spectral density estimation ICML 2020 Acceleration with a Ball Optimization Oracle NeurIPS 2020