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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)

Unifying lower bounds on prediction dimension of convex surrogates NeurIPS 2021 Unifying Timestamp with Transaction Ordering for MVCC with Decentralized Scalar Timestamp NSDI 2021 Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NeurIPS 2021 UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021 Unique sparse decomposition of low rank matrices NeurIPS 2021 Unitary Branching Programs: Learnability and Lower Bounds ICML 2021 Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective AAAI 2021 Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution ICCV 2021 Universal approximation power of deep residual neural networks via nonlinear control theory ICLR 2021 Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces JMLR 2021 Universal Rate-Distortion-Perception Representations for Lossy Compression NeurIPS 2021 Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021 Unlinked Monotone Regression JMLR 2021 Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays MIDL 2021 Unsupervised Bayesian Adaptation of PLDA for Speaker Verification Interspeech 2021 Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021 Unsupervised Relation Extraction: A Variational Autoencoder Approach EMNLP 2021 Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets ACL 2021 UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth SemEval 2021 Usable Information and Evolution of Optimal Representations During Training ICLR 2021 USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems NeurIPS 2021 User-Level Differentially Private Learning via Correlated Sampling NeurIPS 2021 Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021 Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CoRL 2021 Using Psychologically-Informed Priors for Suicide Prediction in the CLPsych 2021 Shared Task NAACL 2021