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Methodology
← Core Methods
Machine Learning
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Core Methods
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Optimization
1184 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 1
2004: 2
2005: 3
2006: 12
2007: 12
2008: 20
2009: 10
2010: 15
2011: 15
2012: 36
2013: 76
2014: 59
2015: 48
2016: 45
2017: 58
2018: 61
2019: 72
2020: 82
2021: 95
2022: 111
2023: 101
2024: 144
2025: 100
2026: 3
Papers
Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization
NIPS 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
NIPS 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
NIPS 2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
NIPS 2015
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
NIPS 2015
Regularization Path of Cross-Validation Error Lower Bounds
NIPS 2015
On the Accuracy of Self-Normalized Log-Linear Models
NIPS 2015
Convex Learning of Multiple Tasks and their Structure
ICML 2015
K-hyperplane Hinge-Minimax Classifier
ICML 2015
Robust Camera Location Estimation by Convex Programming
CVPR 2015
Generalized Tensor Total Variation Minimization for Visual Data Recovery
CVPR 2015
Multi-Image Matching via Fast Alternating Minimization
ICCV 2015
SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs
ICCV 2015
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints
ICCV 2015
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-View Stereo
ICCV 2015
How Hard is Inference for Structured Prediction?
ICML 2015
Causal Video Object Segmentation From Persistence of Occlusions
CVPR 2015
Inferring M-Best Diverse Labelings in a Single One
ICCV 2015
Entropy Minimization for Convex Relaxation Approaches
ICCV 2015
Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition
COLT 2015
Adaptive Recovery of Signals by Convex Optimization
COLT 2015
Tensor principal component analysis via sum-of-square proofs
COLT 2015
Inverting RANSAC: Global Model Detection via Inlier Rate Estimation
CVPR 2015
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
ICML 2015
Supervised Discrete Hashing
CVPR 2015
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