Gong, Wenbo

16 publications

NeurIPS 2025 Gradient Multi-Normalization for Efficient LLM Training Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds

ICML 2025 SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

ICLR 2024 Neural Structure Learning with Stochastic Differential Equations Benjie Wang, Joel Jennings, Wenbo Gong

ICMLW 2024 ProxyTune: Hyperparameter Tuning Through Iteratively Refined Proxies Agrin Hilmkil, Wenbo Gong, Nick Pawlowski, Cheng Zhang

NeurIPS 2023 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong

ICMLW 2023 BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong

ICLR 2023 Rhino: Deep Causal Temporal Relationship Learning with History-Dependent Noise Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski

NeurIPSW 2022 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPSW 2022 Rhino: Deep Causal Temporal Relationship Learning with History-Dependent Noise Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski

NeurIPS 2022 Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

ICML 2021 Active Slices for Sliced Stein Discrepancy Wenbo Gong, Kaibo Zhang, Yingzhen Li, Jose Miguel Hernandez-Lobato

ICMLW 2021 Interpreting Diffusion Score Matching Using Normalizing Flow Wenbo Gong, Yingzhen Li

ICLR 2021 Sliced Kernelized Stein Discrepancy Wenbo Gong, Yingzhen Li, José Miguel Hernández-Lobato

NeurIPS 2019 Icebreaker: Element-Wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin, Richard E Turner, José Miguel Hernández-Lobato, Cheng Zhang

ICLR 2019 Meta-Learning for Stochastic Gradient MCMC Wenbo Gong, Yingzhen Li, José Miguel Hernández-Lobato