Yingzhen Li

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2016–2025

Best venue rank

Where they publish

Papers

25 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching.	Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2025	ICML	Causal Discovery from Conditionally Stationary Time Series.	Carles Balsells Rodas, Xavier Sumba, Tanmayee Narendra, Ruibo Tu, Gabriele Beate Schweikert, Hedvig Kjellstrm, Yingzhen Li
2024	ICLR	C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion.	Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
2024	ICML	Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI.	Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
2024	ICML	On the Identifiability of Switching Dynamical Systems.	Carles Balsells Rodas, Yixin Wang, Yingzhen Li
2023	AAAI	Robust and Adaptive Deep Learning via Bayesian Principles.	Yingzhen Li
2023	ICLR	Calibrating Transformers via Sparse Gaussian Processes.	Wenlong Chen, Yingzhen Li
2023	ICLR	ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure.	Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
2023	ICML	Markovian Gaussian Process Variational Autoencoders.	Harrison Zhu, Carles Balsells Rodas, Yingzhen Li
2021	AISTATS	Meta-Learning Divergences for Variational Inference.	Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang
2021	EACL	Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification.	Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen
2021	ICLR	Sliced Kernelized Stein Discrepancy.	Wenbo Gong, Yingzhen Li, Jos Miguel Hernndez-Lobato
2021	ICML	Active Slices for Sliced Stein Discrepancy.	Wenbo Gong, Kaibo Zhang, Yingzhen Li, Jos Miguel Hernndez-Lobato
2021	MICCAI	A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging.	Thomas Henn, Yasukazu Sakamoto, Clment Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno
2019	EMNLP	On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation.	Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier
2019	ICLR	Meta-Learning For Stochastic Gradient MCMC.	Wenbo Gong, Yingzhen Li, Jos Miguel Hernndez-Lobato
2019	ICML	Are Generative Classifiers More Robust to Adversarial Attacks?	Yingzhen Li, John Bradshaw, Yash Sharma
2019	ICML	Variational Implicit Processes.	Chao Ma, Yingzhen Li, Jos Miguel Hernndez-Lobato
2019	NAACL	Bayesian Learning for Neural Dependency Parsing.	Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart, Anna Korhonen
2018	ICLR	Gradient Estimators for Implicit Models.	Yingzhen Li, Richard E. Turner
2018	ICLR	Variational Continual Learning.	Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner
2018	ICML	Disentangled Sequential Autoencoder.	Yingzhen Li, Stephan Mandt
2017	ICML	Dropout Inference in Bayesian Neural Networks with Alpha-divergences.	Yingzhen Li, Yarin Gal
2016	ICML	Deep Gaussian Processes for Regression using Approximate Expectation Propagation.	Thang D. Bui, Daniel Hernndez-Lobato, Jos Miguel Hernndez-Lobato, Yingzhen Li, Richard E. Turner
2016	ICML	Black-Box Alpha Divergence Minimization.	Jos Miguel Hernndez-Lobato, Yingzhen Li, Mark Rowland, Thang D. Bui, Daniel Hernndez-Lobato, Richard E. Turner