Li, Yazhe

10 publications

NeurIPS 2025 On the Hardness of Conditional Independence Testing in Practice Zheng He, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland

ICML 2024 Denoising Autoregressive Representation Learning Yazhe Li, Jorg Bornschein, Ting Chen

ICLR 2023 Efficient Conditionally Invariant Representation Learning Roman Pogodin, Namrata Deka, Yazhe Li, Danica J. Sutherland, Victor Veitch, Arthur Gretton

ICLR 2023 Evaluating Representations with Readout Model Switching Yazhe Li, Jorg Bornschein, Marcus Hutter

ICML 2023 Investigating the Role of Model-Based Learning in Exploration and Transfer Jacob C Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B Hamrick

ICLR 2023 Sequential Learning of Neural Networks for Prequential MDL Jorg Bornschein, Yazhe Li, Marcus Hutter

ICLR 2022 Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand, Jacob C Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B Hamrick

NeurIPS 2021 Self-Supervised Learning with Kernel Dependence Maximization Yazhe Li, Roman Pogodin, Danica J. Sutherland, Arthur Gretton

ICML 2021 Vector Quantized Models for Planning Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aaron Van Den Oord, Oriol Vinyals

ICML 2018 Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George Driessche, Edward Lockhart, Luis Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis