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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
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
NIPS 2024
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
JMLR 2024
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction
IJCAI 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
NIPS 2024
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
AAAI 2024
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection
CVPR 2024
Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations
EMNLP 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty
ACL 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method
JMLR 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
EMNLP 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
NIPS 2024
Data Contamination Report from the 2024 CONDA Shared Task
ACL 2024
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning
AAAI 2024
An engine not a camera: Measuring performative power of online search
NIPS 2024
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
EMNLP 2024
Localized Adaptive Risk Control
NIPS 2024
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models
EMNLP 2024
Risk-Sensitive Online Algorithms (Extended Abstract)
COLT 2024
Boosted Conformal Prediction Intervals
NIPS 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
IJCAI 2024
Data-Driven Structural Fire Risk Prediction for City Properties
AAAI 2024
Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency
IJCAI 2024
Safety through feedback in Constrained RL
NIPS 2024
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