Risk Management
1,119 papers
Papers per year
1
2
1
1
2
2
9
6
7
7
20
22
39
79
122
146
119
169
173
153
39
'10
'15
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'25
Papers
From Predictions to Decisions: Using Lookahead Regularization
NeurIPS 2020
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging
JMLR 2020
Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
NSDI 2020
Gradient Regularized V-Learning for Dynamic Treatment Regimes
NeurIPS 2020
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
IJCAI 2020
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
COLING 2020
Identifying Model Weakness with Adversarial Examiner
AAAI 2020
Impact of ASR on Alzheimer’s Disease Detection: All Errors are Equal, but Deletions are More Equal than Others
EMNLP 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework
AAAI 2020
Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems
IJCAI 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
IJCAI 2020
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience
AAAI 2020
Joint Estimation and Analysis of Risk Behavior Ratings in Movie Scripts
EMNLP 2020
Large-Scale Methods for Distributionally Robust Optimization
NeurIPS 2020
Learning Bounds for Risk-sensitive Learning
NeurIPS 2020
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
ICML 2020
Learning Robust Decision Policies from Observational Data
NeurIPS 2020
Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization
JMLR 2020
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion
IJCAI 2020
Measuring Forecasting Skill from Text
ACL 2020
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
ICML 2020
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles
IJCAI 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
ICML 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
NeurIPS 2020