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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)

Efficient Variance Reduction for Meta-learning ICML 2022 Efficient yet Competitive Speech Translation: FBK@IWSLT2022 ACL 2022 EHR Safari: Data is Contextual MLHC 2022 Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums ICLR 2022 EigenGame Unloaded: When playing games is better than optimizing ICLR 2022 Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks COLT 2022 EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022 Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation ICLR 2022 Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update OSDI 2022 ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses CVPR 2022 ELIAS: End-to-End Learning to Index and Search in Large Output Spaces NeurIPS 2022 Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise ICLR 2022 ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting AAAI 2022 ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022 Embedded Ensembles: infinite width limit and operating regimes AISTATS 2022 Empirical bayes approach to truth discovery problems UAI 2022 Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data IJCAI 2022 Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width NeurIPS 2022 Empirical Risk Minimization under Random Censorship JMLR 2022 Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model Interspeech 2022 Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention NAACL 2022 EM’s Convergence in Gaussian Latent Tree Models COLT 2022 EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles AAAI 2022 Enabling Arbitrary Translation Objectives with Adaptive Tree Search ICLR 2022 Enabling Equivariance for Arbitrary Lie Groups CVPR 2022