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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)

Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models COLT 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019 Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning EMNLP 2019 Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019 LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019 LSTM Based Similarity Measurement with Spectral Clustering for Speaker Diarization Interspeech 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Machine Teaching of Active Sequential Learners NeurIPS 2019 Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds CVPR 2019 MAGSAC: Marginalizing Sample Consensus CVPR 2019 Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019 Making Decisions that Reduce Discriminatory Impacts ICML 2019 Making Deep Q-learning methods robust to time discretization ICML 2019 Making the Last Iterate of SGD Information Theoretically Optimal COLT 2019 Manifold denoising by Nonlinear Robust Principal Component Analysis NeurIPS 2019 MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019 Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map CVPR 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 Marginal Posterior Sampling for Slate Bandits IJCAI 2019 Margin-Based Generalization Lower Bounds for Boosted Classifiers NeurIPS 2019 Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption UAI 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Matrix Completion in the Unit Hypercube via Structured Matrix Factorization IJCAI 2019