Papers
4,025 papers found
Particle algorithms for maximum likelihood training of latent variable models
Juan Kuntz, Jen Ning Lim, Adam M. Johansen
Performative Prediction with Neural Networks
Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
Jixiang Qing, Henry B. Moss, Tom Dhaene et al.
Piecewise Stationary Bandits under Risk Criteria
Sujay Bhatt, Guanhua Fang, Ping Li
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD
Jerry Chee, Hwanwoo Kim, Panos Toulis
Pointwise sampling uncertainties on the Precision-Recall curve
Ralph E.Q. Urlus, Max Baak, Stéphane Collot et al.
Positional Encoder Graph Neural Networks for Geographic Data
Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill
Posterior Tracking Algorithm for Classification Bandits
Koji Tabata, Junpei Komiyama, Atsuyoshi Nakamura et al.
Precision Recall Cover: A Method For Assessing Generative Models
Fasil Cheema, Ruth Urner
Precision/Recall on Imbalanced Test Data
Hongwei Shang, Jean-Marc Langlois, Kostas Tsioutsiouliklis et al.
Prediction-Oriented Bayesian Active Learning
Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar et al.
Preferential Subsampling for Stochastic Gradient Langevin Dynamics
Srshti Putcha, Christopher Nemeth, Paul Fearnhead
Pricing against a Budget and ROI Constrained Buyer
Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang et al.
Principled Approaches for Private Adaptation from a Public Source
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
Privacy-preserving Sparse Generalized Eigenvalue Problem
Lijie Hu, Zihang Xiang, Jiabin Liu et al.
Private Non-Convex Federated Learning Without a Trusted Server
Andrew Lowy, Ali Ghafelebashi, Meisam Razaviyayn
Probabilistic Conformal Prediction Using Conditional Random Samples
Zhendong Wang, Ruijiang Gao, Mingzhang Yin et al.
Probabilistic Querying of Continuous-Time Event Sequences
Alex Boyd, Yuxin Chang, Stephan Mandt et al.
Probabilities of Causation: Role of Observational Data
Ang Li, Judea Pearl
Probing Graph Representations
Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov et al.
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms
Michelle Chen, Olga Ohrimenko
Provable Hierarchy-Based Meta-Reinforcement Learning
Kurtland Chua, Qi Lei, Jason Lee
Provable Safe Reinforcement Learning with Binary Feedback
Andrew Bennett, Dipendra Misra, Nathan Kallus
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs
Honghao Wei, Arnob Ghosh, Ness Shroff et al.