Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
Fuente:
arXiv
Saved in:
| Main Authors: | Tsuchida, Russell, Ong, Cheng Soon, Sejdinovic, Dino |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Squared families: Searching beyond regular probability models
by: Tsuchida, Russell, et al.
Published: (2025)
by: Tsuchida, Russell, et al.
Published: (2025)
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
by: Zhang, Daokun, et al.
Published: (2024)
by: Zhang, Daokun, et al.
Published: (2024)
Indirect Query Bayesian Optimization with Integrated Feedback
by: Zhang, Mengyan, et al.
Published: (2024)
by: Zhang, Mengyan, et al.
Published: (2024)
An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024)
by: Sejdinovic, Dino
Published: (2024)
Generalization Certificates for Adversarially Robust Bayesian Linear Regression
by: Sabanayagam, Mahalakshmi, et al.
Published: (2025)
by: Sabanayagam, Mahalakshmi, et al.
Published: (2025)
Neural-Kernel Conditional Mean Embeddings
by: Shimizu, Eiki, et al.
Published: (2024)
by: Shimizu, Eiki, et al.
Published: (2024)
All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators
by: Moskvichev, Peter, et al.
Published: (2025)
by: Moskvichev, Peter, et al.
Published: (2025)
ActiveCQ: Active Estimation of Causal Quantities
by: Gao, Erdun, et al.
Published: (2025)
by: Gao, Erdun, et al.
Published: (2025)
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
by: Hu, Robert, et al.
Published: (2021)
by: Hu, Robert, et al.
Published: (2021)
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation
by: Gao, Erdun, et al.
Published: (2025)
by: Gao, Erdun, et al.
Published: (2025)
The Generalised Kernel Covariance Measure
by: Bergen, Luca, et al.
Published: (2026)
by: Bergen, Luca, et al.
Published: (2026)
Measuring Differences between Conditional Distributions using Kernel Embeddings
by: Moskvichev, Peter, et al.
Published: (2026)
by: Moskvichev, Peter, et al.
Published: (2026)
Instrumental and Proximal Causal Inference with Gaussian Processes
by: Zhang, Yuqi, et al.
Published: (2026)
by: Zhang, Yuqi, et al.
Published: (2026)
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
by: Bouabid, Shahine, et al.
Published: (2023)
by: Bouabid, Shahine, et al.
Published: (2023)
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
by: Kanagawa, Motonobu, et al.
Published: (2025)
by: Kanagawa, Motonobu, et al.
Published: (2025)
Near-Optimal Approximations for Bayesian Inference in Function Space
by: Wild, Veit, et al.
Published: (2025)
by: Wild, Veit, et al.
Published: (2025)
Bayesian Adaptive Calibration and Optimal Design
by: Oliveira, Rafael, et al.
Published: (2024)
by: Oliveira, Rafael, et al.
Published: (2024)
Credal Two-Sample Tests of Epistemic Uncertainty
by: Chau, Siu Lun, et al.
Published: (2024)
by: Chau, Siu Lun, et al.
Published: (2024)
Graphon Mixtures
by: Kandanaarachchi, Sevvandi, et al.
Published: (2025)
by: Kandanaarachchi, Sevvandi, et al.
Published: (2025)
Graphons of Line Graphs
by: Kandanaarachchi, Sevvandi, et al.
Published: (2024)
by: Kandanaarachchi, Sevvandi, et al.
Published: (2024)
Giga-scale Kernel Matrix Vector Multiplication on GPU
by: Hu, Robert, et al.
Published: (2022)
by: Hu, Robert, et al.
Published: (2022)
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
by: Jiang, Xia, et al.
Published: (2026)
by: Jiang, Xia, et al.
Published: (2026)
Generalising maximum mean discrepancy: kernelised functional Bregman divergences
by: Tsuchida, Russell, et al.
Published: (2026)
by: Tsuchida, Russell, et al.
Published: (2026)
On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic
by: Park, Yeachan, et al.
Published: (2024)
by: Park, Yeachan, et al.
Published: (2024)
A pseudo-inverse of a line graph
by: Kandanaarachchi, Sevvandi, et al.
Published: (2025)
by: Kandanaarachchi, Sevvandi, et al.
Published: (2025)
Observationally Informed Adaptive Causal Experimental Design
by: Gao, Erdun, et al.
Published: (2026)
by: Gao, Erdun, et al.
Published: (2026)
A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)
by: Wei, Zhao, et al.
Published: (2025)
Open Set Label Shift with Test Time Out-of-Distribution Reference
by: Ye, Changkun, et al.
Published: (2025)
by: Ye, Changkun, et al.
Published: (2025)
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression Filtering Method for SEM Images
by: Ong, D. Chee Yong, et al.
Published: (2025)
by: Ong, D. Chee Yong, et al.
Published: (2025)
On the Expressive Power of Floating-Point Transformers
by: Park, Sejun, et al.
Published: (2026)
by: Park, Sejun, et al.
Published: (2026)
Exact Mean Square Linear Stability Analysis for SGD
by: Mulayoff, Rotem, et al.
Published: (2023)
by: Mulayoff, Rotem, et al.
Published: (2023)
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
by: Cheng, Si, et al.
Published: (2023)
by: Cheng, Si, et al.
Published: (2023)
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
by: Liu, Haitao, et al.
Published: (2022)
by: Liu, Haitao, et al.
Published: (2022)
On Expressivity of Height in Neural Networks
by: Fan, Feng-Lei, et al.
Published: (2023)
by: Fan, Feng-Lei, et al.
Published: (2023)
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
by: Xu, Meng, et al.
Published: (2025)
by: Xu, Meng, et al.
Published: (2025)
Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations
by: Park, Yeachan, et al.
Published: (2026)
by: Park, Yeachan, et al.
Published: (2026)
Fairness Evaluation with Item Response Theory
by: Xu, Ziqi, et al.
Published: (2024)
by: Xu, Ziqi, et al.
Published: (2024)
Exact Expressive Power of Transformers with Padding
by: Merrill, William, et al.
Published: (2025)
by: Merrill, William, et al.
Published: (2025)
Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches
by: Zhou, Feng, et al.
Published: (2025)
by: Zhou, Feng, et al.
Published: (2025)
Similar Items
-
Squared families: Searching beyond regular probability models
by: Tsuchida, Russell, et al.
Published: (2025) -
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
by: Zhang, Daokun, et al.
Published: (2024) -
Indirect Query Bayesian Optimization with Integrated Feedback
by: Zhang, Mengyan, et al.
Published: (2024) -
An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024) -
Generalization Certificates for Adversarially Robust Bayesian Linear Regression
by: Sabanayagam, Mahalakshmi, et al.
Published: (2025)