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Decision Making

Papers

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Showing 8951–9000 of 12311 papers

TitleStatusHype
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions—0
Deep Video Prediction for Time Series Forecasting—0
CoreDiag: Eliminating Redundancy in Constraint Sets—0
Continuous Mean-Covariance Bandits—0
No-Regret Algorithms for Private Gaussian Process Bandit Optimization—0
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization—0
Accelerating Recursive Partition-Based Causal Structure Learning—0
Differentiable Logic Machines—0
Decision Rule Elicitation for Domain Adaptation—0
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics—0
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations—0
Local Calibration: Metrics and Recalibration—0
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning—0
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations—0
AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment—0
Inconsistency thresholds for incomplete pairwise comparison matrices—0
Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment—0
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference—0
On a notion of independence proposed by Teddy Seidenfeld—0
Everything is Relative: Understanding Fairness with Optimal Transport—0
Output-Weighted Sampling for Multi-Armed Bandits with Extreme PayoffsCode0
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline MethodologyCode0
Affirmative Action vs. Affirmative Information—0
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving—0
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making—0
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches—0
A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback—0
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization—0
Boosting for Online Convex Optimization—0
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football—0
Learning Memory-Dependent Continuous Control from Demonstrations—0
Integrating prediction in mean-variance portfolio optimization—0
Outside the Echo Chamber: Optimizing the Performative Risk—0
Risk factor identification for incident heart failure using neural network distillation and variable selection—0
The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling—0
Value of Information for Argumentation based Intelligence Analysis—0
Moral Decision-Making in Medical Hybrid Intelligent Systems: A Team Design Patterns Approach to the Bias Mitigation and Data Sharing Design Problems—0
A Mental Trespass? Unveiling Truth, Exposing Thoughts and Threatening Civil Liberties with Non-Invasive AI Lie Detection—0
Finding the Gap: Neuromorphic Motion Vision in Cluttered EnvironmentsCode0
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models—0
Causal Markov Decision Processes: Learning Good Interventions Efficiently—0
A Machine Learning Approach for Early Detection of Fish Diseases by Analyzing Water Quality—0
Fair and Optimal Cohort Selection for Linear Utilities—0
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization—0
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers—0
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment—0
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form GamesCode0
A Decentralized Approach towards Responsible AI in Social Ecosystems—0
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning—0
Representation Matters: Offline Pretraining for Sequential Decision Making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified