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Risk Management
1053 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2009: 1
2010: 2
2011: 2
2012: 9
2013: 6
2014: 7
2015: 6
2016: 20
2017: 22
2018: 38
2019: 77
2020: 121
2021: 139
2022: 115
2023: 159
2024: 155
2025: 133
2026: 37
Papers
Maximizing the Success Probability of Policy Allocations in Online Systems
AAAI 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
JMLR 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
NIPS 2024
Stage-Aware Learning for Dynamic Treatments
JMLR 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources
AISTATS 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
AAAI 2024
Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA.
JMLR 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization
NIPS 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers
AISTATS 2024
Where The Wild Things Are: Brute-Force SSH Attacks In The Wild And How To Stop Them
NSDI 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
AISTATS 2024
Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios
JMLR 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition
INTERSPEECH 2024
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
JMLR 2024
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
EMNLP 2024
Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration
EMNLP 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection
CVPR 2024
Unit Selection with Nonbinary Treatment and Effect
AAAI 2024
Pareto Optimal Learning for Estimating Large Language Model Errors
ACL 2024
Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms
AAAI 2024
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty
ACL 2024
The Risks of Recourse in Binary Classification
AISTATS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
NIPS 2024
Active, anytime-valid risk controlling prediction sets
NIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
NIPS 2024
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