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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)

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes NeurIPS 2023 EdenTTS: A Simple and Efficient Parallel Text-to-speech Architecture with Collaborative Duration-alignment Learning Interspeech 2023 Editing Boolean Classifiers: A Belief Change Perspective AAAI 2023 EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression ICML 2023 EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023 Effective and Efficient Structural Inference with Reservoir Computing ICML 2023 Effective Bayesian Heteroscedastic Regression with Deep Neural Networks NeurIPS 2023 Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS AAAI 2023 Effectively Modeling Time Series with Simple Discrete State Spaces ICLR 2023 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023 Effective passive membership inference attacks in federated learning against overparameterized models ICLR 2023 Effects of Graph Convolutions in Multi-layer Networks ICLR 2023 Effects of Human Adversarial and Affable Samples on BERT Generalization EMNLP 2023 Effects of Tonal Coarticulation and Prosodic Positions on Tonal Contours of Low Rising Tones: In the Case of Xiamen Dialect Interspeech 2023 Efficient Activation Function Optimization through Surrogate Modeling NeurIPS 2023 Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NeurIPS 2023 Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages EMNLP 2023 Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract) AAAI 2023 Efficient Algorithms for Sparse Moment Problems without Separation COLT 2023 Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination NeurIPS 2023 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NeurIPS 2023 Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration ICML 2023