Mathematics

Pricing with Contextual Elasticity and Heteroscedastic Valuation ICML 2024 Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024 Principal eigenstate classical shadows COLT 2024 Principle Component Trees and Their Persistent Homology AAAI 2024 Principled Preferential Bayesian Optimization ICML 2024 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Private Geometric Median NeurIPS 2024 Privately Learning Smooth Distributions on the Hypercube by Projections ICML 2024 Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages ICML 2024 Probabilistic size-and-shape functional mixed models NeurIPS 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization ICML 2024 Profile Reconstruction from Private Sketches ICML 2024 ProG: A Graph Prompt Learning Benchmark NeurIPS 2024 Provable Advantage in Quantum PAC Learning COLT 2024 Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024 Proving Theorems Recursively NeurIPS 2024 Publishing Number of Walks and Katz Centrality under Local Differential Privacy UAI 2024 Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition NeurIPS 2024 Quadratic Quantum Variational Monte Carlo NeurIPS 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024