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Risk Management

1053 directly classified papers

Papers per year

Papers

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
Flexible Model Aggregation for Quantile Regression JMLR 2023
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract) AAAI 2023
On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems ICML 2023
Model Shapley: Equitable Model Valuation with Black-box Access NIPS 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023
Stochastic Optimization for Spectral Risk Measures AISTATS 2023
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce EMNLP 2023
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection AAAI 2023
Bounding training data reconstruction in DP-SGD NIPS 2023
From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset IJCNLP 2023
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems AISTATS 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance NIPS 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions ICML 2023
Evaluating and Improving Automatic Speech Recognition using Severity ACL 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023
Networked Restless Bandits with Positive Externalities AAAI 2023
OpenDataVal: a Unified Benchmark for Data Valuation NIPS 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023
Wasserstein distributional robustness of neural networks NIPS 2023
Measuring Consistency in Text-based Financial Forecasting Models ACL 2023