conftrace_

risk minimization

56 papers

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Co-occurring keywords

distribution shift (722) distributionally robust optimization (185) convex optimization (1321) support vector machine (978) loss function (462) variance regularization (13) performative prediction (31) binary classification (678) learning theory (519) stochastic optimization (1060)

Papers

Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024
Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024
Rejection via Learning Density Ratios NIPS 2024
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024
GO4Align: Group Optimization for Multi-Task Alignment NIPS 2024
Constrained Binary Decision Making NIPS 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization NIPS 2024
Distributionally Robust Performative Prediction NIPS 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy NIPS 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions AISTATS 2023
On the Generalization Analysis of Adversarial Learning ICML 2022
A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement NIPS 2022
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization NIPS 2022
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments AAAI 2022
Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase CVPR 2022
Achieving Long-Term Fairness in Sequential Decision Making AAAI 2022