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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)

Seeing Into Darkness: Scotopic Visual Recognition CVPR 2017 See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017 Selective Inference for Sparse High-Order Interaction Models ICML 2017 Self-Normalizing Neural Networks NeurIPS 2017 Semi-Calibrated Near Field Photometric Stereo CVPR 2017 Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text Interspeech 2017 Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks IJCAI 2017 SGD Learns the Conjugate Kernel Class of the Network NeurIPS 2017 SGM-Nets: Semi-Global Matching With Neural Networks CVPR 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Sharp Minima Can Generalize For Deep Nets ICML 2017 Sharpness, Restart and Acceleration NeurIPS 2017 Sharp Oracle Inequalities for Square Root Regularization JMLR 2017 Should Robots be Obedient? IJCAI 2017 Signal-based Bayesian Seismic Monitoring AISTATS 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Simple strategies for recovering inner products from coarsely quantized random projections NeurIPS 2017 Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair CVPR 2017 Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017 Single Image Reflection Suppression CVPR 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017