Jiaxin Shi
48 papers · 2016–2025 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jiaxin Shi?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jun Zhu, Shengyang Sun, Michalis Titsias
16 papers
· 2018–2025
· ICML, NeurIPS, ICLR
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Learning-Order Autoregressive Models with Application to Molecular Graph Generation
ICML 2025
Simplified and Generalized Masked Diffusion for Discrete Data
NeurIPS 2024
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
NeurIPS 2023
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
AISTATS 2022
Gradient Estimation with Discrete Stein Operators
NeurIPS 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks
ICML 2022
Sampling with Mirrored Stein Operators
ICLR 2022
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
ICML 2021
Nonparametric Score Estimators
ICML 2020
Sparse Orthogonal Variational Inference for Gaussian Processes
AISTATS 2020
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
ICLR 2019
Scalable Training of Inference Networks for Gaussian-Process Models
ICML 2019
A Spectral Approach to Gradient Estimation for Implicit Distributions
ICML 2018
Kernel Implicit Variational Inference
ICLR 2018
Message Passing Stein Variational Gradient Descent
ICML 2018
Semi-crowdsourced Clustering with Deep Generative Models
NeurIPS 2018
8 papers whose co-authors appear nowhere else under this name
Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding
CVPR 2025
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
NeurIPS 2025
PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models
IJCNLP 2025
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives
ACL 2025
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
ACL 2024
Sequence Modeling with Multiresolution Convolutional Memory
ICML 2023
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
UAI 2019
Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration
OSDI 2016