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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)

PAC-Bayes under potentially heavy tails NeurIPS 2019 PAC-Bayes Un-Expected Bernstein Inequality NeurIPS 2019 PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits ICML 2019 PAC Learnability of Node Functions in Networked Dynamical Systems ICML 2019 PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization ICML 2019 Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates NeurIPS 2019 Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019 Parallelizable Stack Long Short-Term Memory NAACL 2019 Parallel Optimal Transport GAN CVPR 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019 Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators IJCAI 2019 Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization ICML 2019 Parameter elimination in particle Gibbs sampling NeurIPS 2019 Parameter-Free Online Convex Optimization with Sub-Exponential Noise COLT 2019 Parameterized Heuristics for Incomplete Weighted CSPs AAAI 2019 Parametric Majorization for Data-Driven Energy Minimization Methods ICCV 2019 Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation ICCV 2019 Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning RSS 2019 Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach AAAI 2019 Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search CVPR 2019 Partitioning Structure Learning for Segmented Linear Regression Trees NeurIPS 2019 PASCAL and DPA: A Pilot Study on Using Prosodic Competence Scores to Predict Communicative Skills for Team Working and Public Speaking Interspeech 2019 Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models ICML 2019 Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams ICCV 2019 Path-Invariant Map Networks CVPR 2019