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← Optimization & Theory
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Optimization & Theory
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Loss Functions
1162 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 3
2007: 4
2008: 3
2009: 5
2010: 7
2011: 11
2012: 11
2013: 8
2014: 15
2015: 18
2016: 16
2017: 30
2018: 57
2019: 124
2020: 120
2021: 165
2022: 140
2023: 174
2024: 111
2025: 106
2026: 32
Papers
Learning Structured Models with the AUC Loss and Its Generalizations
AISTATS 2014
On Robustness and Regularization of Structural Support Vector Machines
ICML 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models
ICML 2014
One Millisecond Face Alignment with an Ensemble of Regression Trees
CVPR 2014
Consistent Binary Classification with Generalized Performance Metrics
NIPS 2014
Deep Boosting
ICML 2014
Elicitation and Identification of Properties
COLT 2014
The Coherent Loss Function for Classification
ICML 2014
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
ICML 2013
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
JMLR 2013
Cost-sensitive Multiclass Classification Risk Bounds
ICML 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
NIPS 2013
Loss-Proportional Subsampling for Subsequent ERM
ICML 2013
Perceptual Fidelity Aware Mean Squared Error
ICCV 2013
Structured Learning via Logistic Regression
NIPS 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses
COLT 2013
Accuracy at the Top
NIPS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
NIPS 2012
Learning from the Wisdom of Crowds by Minimax Entropy
NIPS 2012
Learning Low-order Models for Enforcing High-order Statistics
AISTATS 2012
Persistent Homology for Learning Densities with Bounded Support
NIPS 2012
Classification Calibration Dimension for General Multiclass Losses
NIPS 2012
Proper losses for learning from partial labels
NIPS 2012
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
JMLR 2012
A Characterization of Scoring Rules for Linear Properties
COLT 2012
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