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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
The Complexity of Learning Halfspaces using Generalized Linear Methods
COLT 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
COLT 2014
Learning Sparsely Used Overcomplete Dictionaries
COLT 2014
Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers
COLT 2014
Open Problem: Tightness of maximum likelihood semidefinite relaxations
COLT 2014
Convex Deep Learning via Normalized Kernels
NIPS 2014
The Coherent Loss Function for Classification
ICML 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
ICML 2014
Towards Minimax Online Learning with Unknown Time Horizon
ICML 2014
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve
ICML 2014
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function
ICML 2014
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
ICML 2014
Coordinate-descent for learning orthogonal matrices through Givens rotations
ICML 2014
Hamiltonian Monte Carlo Without Detailed Balance
ICML 2014
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers
ICML 2014
Structured Prediction via Output Space Search
JMLR 2014
pystruct - Learning Structured Prediction in Python
JMLR 2014
An Efficient Approach for Assessing Hyperparameter Importance
ICML 2014
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation
ICML 2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
ICML 2014
Safe Screening with Variational Inequalities and Its Application to Lasso
ICML 2014
Signal recovery from Pooling Representations
ICML 2014
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
NIPS 2014
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
ICML 2014
Efficient Learning of Mahalanobis Metrics for Ranking
ICML 2014
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