Mathematics & Optimization

PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 PE: A Poincare Explanation Method for Fast Text Hierarchy Generation EMNLP 2024 Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams ICML 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024 Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024 Performance Bounds for Active Binary Testing with Information Maximization ICML 2024 Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model ICLR 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Performative Prediction with Bandit Feedback: Learning through Reparameterization ICML 2024 Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024 Persistence Homology Distillation for Semi-supervised Continual Learning NeurIPS 2024 Persistent Homology for High-dimensional Data Based on Spectral Methods NeurIPS 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Perturb-and-Project: Differentially Private Similarities and Marginals ICML 2024 Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024 PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024 Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models CVPR 2024 Physics-informed machine learning as a kernel method COLT 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach ICML 2024