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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)

You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks PGM 2022 Your Transformer May Not be as Powerful as You Expect NeurIPS 2022 ZARTS: On Zero-order Optimization for Neural Architecture Search NeurIPS 2022 Zero-shot Cross-lingual Transfer is Under-specified Optimization ACL 2022 Zero-Shot Logit Adjustment IJCAI 2022 Zero Stability Well Predicts Performance of Convolutional Neural Networks AAAI 2022 Zero-Sum Stochastic Stackelberg Games NeurIPS 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NeurIPS 2022 Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients NeurIPS 2022 Zeta: A Scalable and Robust East-West Communication Framework in Large-Scale Clouds NSDI 2022 Zhegu@SMM4H-2022: The Pre-training Tweet & Claim Matching Makes Your Prediction Better COLING 2022 Zonotope Domains for Lagrangian Neural Network Verification NeurIPS 2022 α-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NeurIPS 2021 K^2-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks ACML 2021 LeadCache: Regret-Optimal Caching in Networks NeurIPS 2021 1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed ICML 2021 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition CVPR 2021 3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-View Model-Fitting WACV 2021 3DP3: 3D Scene Perception via Probabilistic Programming NeurIPS 2021 4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis CVPR 2021 A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021 A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021 A Bayesian Framework for Information-Theoretic Probing EMNLP 2021 A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning ICLR 2021 A Biased Graph Neural Network Sampler with Near-Optimal Regret NeurIPS 2021