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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)

HetSeq: Distributed GPU Training on Heterogeneous Infrastructure AAAI 2021 "Hey, that’s not an ODE": Faster ODE Adjoints via Seminorms ICML 2021 HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021 Hidden Cost of Randomized Smoothing AISTATS 2021 HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021 Hierarchical Autoregressive Modeling for Neural Video Compression ICLR 2021 Hierarchical Class-Based Curriculum Loss IJCAI 2021 Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering AISTATS 2021 Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech Interspeech 2021 Hierarchical Indian buffet neural networks for Bayesian continual learning UAI 2021 Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021 Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation From Images in the Wild ICCV 2021 Hierarchical learning of Hidden Markov Models with clustering regularization UAI 2021 Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing IJCAI 2021 Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback AAAI 2021 Hierarchical probabilistic model for blind source separation via Legendre transformation UAI 2021 High-Capacity Expert Binary Networks ICLR 2021 High-Confidence Off-Policy (or Counterfactual) Variance Estimation AAAI 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 High-Dimensional Gaussian Process Inference with Derivatives ICML 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NeurIPS 2021