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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)

Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces ICLR 2019 Boundary loss for highly unbalanced segmentation MIDL 2019 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 Bounding Uncertainty for Active Batch Selection AAAI 2019 Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ICML 2019 Breaking Inter-Layer Co-Adaptation by Classifier Anonymization ICML 2019 Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning ACL 2019 Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019 Bridging the Gap between Training and Inference for Neural Machine Translation ACL 2019 Building Personalized Simulator for Interactive Search IJCAI 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization NeurIPS 2019 Calibrated Approximate Bayesian Inference ICML 2019 Calibrated Model-Based Deep Reinforcement Learning ICML 2019 Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019 Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data Interspeech 2019 Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty ICCV 2019 Can Adversarially Robust Learning LeverageComputational Hardness? ALT 2019 CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis EMNLP 2019 Canonical Soft Time Warping ACML 2019 Can SGD Learn Recurrent Neural Networks with Provable Generalization? NeurIPS 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Capacity Bounded Differential Privacy NeurIPS 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019 Cap-and-Trade Emissions Regulation: A Strategic Analysis IJCAI 2019