Papers
Prediction-Powered E-Values
Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert
Prediction via Shapley Value Regression
Amr Alkhatib, Roman Bresson, Henrik Boström et al.
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Kashun Shum, Yuzhen Huang, Hongjian Zou et al.
Predictive Performance of Deep Quantum Data Re-uploading Models
Xin Wang, Hanxiao Tao, Rebing Wu
Preference Adaptive and Sequential Text-to-Image Generation
Ofir Nabati, Guy Tennenholtz, Chihwei Hsu et al.
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
Qi Ju, Thomas Tellier, Meng Sun et al.
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy et al.
Preference Learning for AI Alignment: a Causal Perspective
Kasia Kobalczyk, Mihaela Van Der Schaar
Preference learning made easy: Everything should be understood through win rate
Lily H Zhang, Rajesh Ranganath
Preference Optimization for Combinatorial Optimization Problems
Mingjun Pan, Guanquan Lin, You-Wei Luo et al.
Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs
Sagnik Mukherjee, Abhinav Chinta, Takyoung Kim et al.
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu, Li Lin, Wenbin Zhang et al.
Pre-training Auto-regressive Robotic Models with 4D Representations
Dantong Niu, Yuvan Sharma, Haoru Xue et al.
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov et al.
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
Xinxu Wei, Kanhao Zhao, Yong Jiao et al.
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
Ermis Soumalias, Jakob Heiss, Jakob Weissteiner et al.
Primal-Dual Neural Algorithmic Reasoning
Yu He, Ellen Vitercik
PRIME: Deep Imbalanced Regression with Proxies
Jongin Lim, Sucheol Lee, Daeho Um et al.
Primitive Vision: Improving Diagram Understanding in MLLMs
Shan Zhang, Aotian Chen, Yanpeng Sun et al.
Primphormer: Efficient Graph Transformers with Primal Representations
Mingzhen He, Ruikai Yang, Hanling Tian et al.
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
Junyan Liu, Lillian J. Ratliff
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
Anqi Mao, Mehryar Mohri, Yutao Zhong
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
Chengqian Gao, Haonan Li, Liu Liu et al.
Prior Knowledge Guided Neural Architecture Generation
Jingrong Xie, Han Ji, Yanan Sun
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac et al.