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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)

Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NeurIPS 2020 LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020 Lifted Query Answering in Gaussian Bayesian Networks PGM 2020 Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets AAAI 2020 Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization CVPR 2020 Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020 Likelihood-free MCMC with Amortized Approximate Ratio Estimators ICML 2020 Limitations of Incentive Compatibility on Discrete Type Spaces AAAI 2020 Limits on Testing Structural Changes in Ising Models NeurIPS 2020 Limits to Depth Efficiencies of Self-Attention NeurIPS 2020 Linear Bandits with Feature Feedback AAAI 2020 Linear bandits with Stochastic Delayed Feedback ICML 2020 Linear Convergence of Adaptive Stochastic Gradient Descent AISTATS 2020 Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming ICML 2020 Linear Dynamical Systems as a Core Computational Primitive NeurIPS 2020 Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020 Linearly Convergent Frank-Wolfe with Backtracking Line-Search AISTATS 2020 Linearly Converging Error Compensated SGD NeurIPS 2020 Linear Mode Connectivity and the Lottery Ticket Hypothesis ICML 2020 Linear predictor on linearly-generated data with missing values: non consistency and solutions AISTATS 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware ICLR 2020 Linear Time Sinkhorn Divergences using Positive Features NeurIPS 2020 Lipschitz and Comparator-Norm Adaptivity in Online Learning COLT 2020 Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing NeurIPS 2020