Roy, Dan

8 publications

NeurIPS 2023 The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit Lorenzo Noci, Chuning Li, Mufan Li, Bobby He, Thomas Hofmann, Chris J Maddison, Dan Roy

NeurIPS 2022 Adaptively Exploiting D-Separators with Causal Bandits Blair Bilodeau, Linbo Wang, Dan Roy

NeurIPS 2022 Pruning’s Effect on Generalization Through the Lens of Training and Regularization Tian Jin, Michael Carbin, Dan Roy, Jonathan Frankle, Gintare Karolina Dziugaite

NeurIPS 2022 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization Mufan Li, Mihai Nica, Dan Roy

NeurIPS 2021 Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo, Francesco Orabona, Dan Roy

NeurIPS 2021 The Future Is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Li, Mihai Nica, Dan Roy

NeurIPS 2021 Towards a Unified Information-Theoretic Framework for Generalization Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Dan Roy

NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation David Sontag, Dan Roy