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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)

The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 The Smoothed Complexity of Computing Kemeny and Slater Rankings AAAI 2021 The Spatially-Correlative Loss for Various Image Translation Tasks CVPR 2021 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021 The staircase property: How hierarchical structure can guide deep learning NeurIPS 2021 The statistical advantage of automatic NLG metrics at the system level ACL 2021 The structure of online social networks modulates the rate of lexical change NAACL 2021 The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021 The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks ICML 2021 The Teaching Dimension of Kernel Perceptron AISTATS 2021 The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers AISTATS 2021 The Volctrans Neural Speech Translation System for IWSLT 2021 ACL 2021 THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation SemEval 2021 Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021 Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss COLT 2021 Thinking Like Transformers ICML 2021 Thompson Sampling for Bandits with Clustered Arms IJCAI 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory AAAI 2021 Three Operator Splitting with a Nonconvex Loss Function ICML 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NeurIPS 2021 Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters AAAI 2021 Tied & Reduced RNN-T Decoder Interspeech 2021 Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks ICML 2021