Malinin, Andrey

8 publications

NeurIPS 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova

NeurIPS 2021 On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P Vetrov

NeurIPS 2021 Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets Max Ryabinin, Andrey Malinin, Mark Gales

ICLR 2021 Uncertainty Estimation in Autoregressive Structured Prediction Andrey Malinin, Mark Gales

ICLR 2021 Uncertainty in Gradient Boosting via Ensembles Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko

ICLR 2020 Ensemble Distribution Distillation Andrey Malinin, Bruno Mlodozeniec, Mark Gales

NeurIPS 2019 Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness Andrey Malinin, Mark Gales

NeurIPS 2018 Predictive Uncertainty Estimation via Prior Networks Andrey Malinin, Mark Gales