Pogodin, Roman

8 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

ICLR 2024 Synaptic Weight Distributions Depend on the Geometry of Plasticity Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake Aaron Richards

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

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

NeurIPS 2021 Towards Biologically Plausible Convolutional Networks Roman Pogodin, Yash Mehta, Timothy Lillicrap, Peter E Latham

NeurIPS 2020 Kernelized Information Bottleneck Leads to Biologically Plausible 3-Factor Hebbian Learning in Deep Networks Roman Pogodin, Peter E. Latham

UAI 2019 On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits Roman Pogodin, Tor Lattimore

NeurIPSW 2019 Working Memory Facilitates Reward-Modulated Hebbian Learning in Recurrent Neural Networks Roman Pogodin, Dane Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner