conftrace_

surrogate loss

94 papers

Explore in graph

Co-occurring keywords

binary classification (678) regret bound (1926) multiclass classification (181) convex optimization (1321) loss function (462) surrogate loss function (11) multi-class classification (280) consistency bound (7) learning to defer (17) online learning (1777)

Papers

Two-Stage Learning to Defer with Multiple Experts NIPS 2023
$H$-Consistency Bounds: Characterization and Extensions NIPS 2023
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NIPS 2023
Regression with Cost-based Rejection NIPS 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer NIPS 2023
The Adversarial Consistency of Surrogate Risks for Binary Classification NIPS 2023
Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds COLT 2023
On Classification-Calibration of Gamma-Phi Losses COLT 2023
Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022
Recall@k Surrogate Loss With Large Batches and Similarity Mixup CVPR 2022
Conditionally Gaussian PAC-Bayes AISTATS 2022
Towards Consistency in Adversarial Classification NIPS 2022
Multi-Class $H$-Consistency Bounds NIPS 2022
H-Consistency Bounds for Surrogate Loss Minimizers ICML 2022
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NIPS 2022
Calibrated Learning to Defer with One-vs-All Classifiers ICML 2022
Sample Efficient Learning of Predictors that Complement Humans ICML 2022
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics AISTATS 2022
Beyond Bandit Feedback in Online Multiclass Classification NIPS 2021
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning AISTATS 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting NIPS 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021
Online Active Learning with Surrogate Loss Functions NIPS 2021