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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
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828
3,646
5,854
2000
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Papers (including subtopics)

Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Wide Compression: Tensor Ring Nets CVPR 2018 Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018 Yes, but Did It Work?: Evaluating Variational Inference ICML 2018 ZCU-NTIS Speaker Diarization System for the DIHARD 2018 Challenge Interspeech 2018 Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NeurIPS 2018 Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications AISTATS 2018 Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NeurIPS 2018 Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains CVPR 2018 Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018 µTune: Auto-Tuned Threading for OLDI Microservices OSDI 2018 A Bayesian Approach to Argument-Based Reasoning for Attack Estimation IJCAI 2017 A Bayesian Data Augmentation Approach for Learning Deep Models NeurIPS 2017 A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations JMLR 2017 A Birth-Death Process for Feature Allocation ICML 2017 A causal framework for explaining the predictions of black-box sequence-to-sequence models EMNLP 2017 Accelerated consensus via Min-Sum Splitting NeurIPS 2017 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017 Accelerating Stochastic Composition Optimization JMLR 2017 Acceleration and Averaging in Stochastic Descent Dynamics NeurIPS 2017 Accumulated Gradient Normalization ACML 2017 Achieving Optimal Misclassification Proportion in Stochastic Block Models JMLR 2017 A Clever Elimination Strategy for Efficient Minimal Solvers CVPR 2017 A Closer Look at Memorization in Deep Networks ICML 2017 A Comparative Evaluation of GMM-Free State Tying Methods for ASR Interspeech 2017