conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Risk Management

40 papers

Papers per year

1
1
1
2
7
5
4
6
2
2
4
5

Papers

Policy Newton Methods for Distortion Riskmetrics AAAI 2026
RISK: A Framework for GUI Agents in E-commerce Risk Management ACL 2026
LLM as a Risk Manager: LLM Semantic Filtering for Lead–Lag Trading in Prediction Markets ACL 2026
RADAR: Risk-Aware Distilled Adaptive Routing for Efficient Short-Form Video Platform Ecosystem Governance ACL 2026
TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale ACL 2026
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025
AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection ACL 2025
Nuclear Deployed!: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents ACL 2025
Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation ACL 2025
Transfer Learning for Text Classification via Model Risk Analysis EMNLP 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk NIPS 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage NIPS 2023
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Context-Based Dynamic Pricing with Partially Linear Demand Model NIPS 2022
Efficient Risk-Averse Reinforcement Learning NIPS 2022
Dynamic Algorithmic Impact Assessment to Promote an Ethical Use of AI in Businesses AAAI 2022
Learning Confidence for Transformer-based Neural Machine Translation ACL 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NIPS 2021
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NIPS 2021
Two steps to risk sensitivity NIPS 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Bayesian Robust Optimization for Imitation Learning NIPS 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020