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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)

Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains NeurIPS 2022 Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games AISTATS 2022 Forward Operator Estimation in Generative Models with Kernel Transfer Operators ICML 2022 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NeurIPS 2022 Fourier Learning with Cyclical Data ICML 2022 Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022 FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022 Fractional Adaptive Linear Units AAAI 2022 Framework for Evaluating Faithfulness of Local Explanations ICML 2022 Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator NeurIPS 2022 Free Probability for predicting the performance of feed-forward fully connected neural networks NeurIPS 2022 FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models NAACL 2022 Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits ICLR 2022 Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection Interspeech 2022 FriendlyCore: Practical Differentially Private Aggregation ICML 2022 From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation ICLR 2022 From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022 From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization COLT 2022 Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies IJCAI 2022 f-SfT: Shape-From-Template With a Physics-Based Deformation Model CVPR 2022 FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting JMLR 2022