| Prosumer Behavior: Decision Making with Bounded Horizon | Mar 5, 2021 | Decision Making | —Unverified | 0 | 0 |
| Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions | May 8, 2021 | AttributeClustering | —Unverified | 0 | 0 |
| Protecting Privacy through Distributed Computation in Multi-agent Decision Making | Feb 4, 2014 | Decision MakingScheduling | —Unverified | 0 | 0 |
| Protection or Peril of Following the Crowd in a Pandemic-Concurrent Flood Evacuation | Feb 1, 2022 | Decision Making | —Unverified | 0 | 0 |
| ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges | Dec 3, 2023 | Decision MakingEEG | —Unverified | 0 | 0 |
| Prototype-Based Interpretability for Legal Citation Prediction | May 25, 2023 | Citation PredictionDecision Making | —Unverified | 0 | 0 |
| Prototyping three key properties of specific curiosity in computational reinforcement learning | May 20, 2022 | Decision Makingreinforcement-learning | —Unverified | 0 | 0 |
| Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes | Oct 20, 2023 | Decision MakingMulti-Task Learning | —Unverified | 0 | 0 |
| Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems | Jul 24, 2023 | Decision MakingMulti-Armed Bandits | —Unverified | 0 | 0 |
| Provable Fairness for Neural Network Models using Formal Verification | Dec 16, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| Provable Reinforcement Learning with a Short-Term Memory | Feb 8, 2022 | Decision Makingreinforcement-learning | —Unverified | 0 | 0 |
| PROVABLY BENEFITS OF DEEP HIERARCHICAL RL | Sep 25, 2019 | Decision MakingHierarchical Reinforcement Learning | —Unverified | 0 | 0 |
| Provably Convergent Federated Trilevel Learning | Dec 19, 2023 | Decision MakingDomain Adaptation | —Unverified | 0 | 0 |
| Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization | Feb 14, 2022 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback | Jul 6, 2023 | Decision MakingLEMMA | —Unverified | 0 | 0 |
| Provably Efficient UCB-type Algorithms For Learning Predictive State Representations | Jul 1, 2023 | Computational EfficiencyDecision Making | —Unverified | 0 | 0 |
| Provably Learning Nash Policies in Constrained Markov Potential Games | Jun 13, 2023 | Decision MakingMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| Provably Robust Model-Centric Explanations for Critical Decision-Making | Oct 26, 2021 | Decision Making | —Unverified | 0 | 0 |
| Provenance, Anonymisation and Data Environments: a Unifying Construction | Jul 21, 2021 | Decision MakingManagement | —Unverified | 0 | 0 |
| Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding | May 3, 2021 | Causal InferenceDecision Making | —Unverified | 0 | 0 |
| Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow | Dec 23, 2022 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces | May 26, 2014 | Decision Makingreinforcement-learning | —Unverified | 0 | 0 |
| Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems | Jan 22, 2020 | Decision MakingExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| A Prudent Framework for Understanding Risk-Awareness in Demand Response | May 25, 2024 | Decision Making | —Unverified | 0 | 0 |
| Prune-and-Score: Learning for Greedy Coreference Resolution | Oct 1, 2014 | coreference-resolutionCoreference Resolution | —Unverified | 0 | 0 |