Katie Everett - RankMe

11 papers A* 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Logarithmic-time Schedules for Scaling Language Models with Momentum. CoRR Damien Ferbach, Courtney Paquette, Gauthier Gidel, Katie Everett, Elliot Paquette
2025	J	`jnl`	Dimension-adapted Momentum Outscales SGD. CoRR Damien Ferbach, Katie Everett, Gauthier Gidel, Elliot Paquette, Courtney Paquette
2024	J	`jnl`	Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies. CoRR Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
2024	J	`jnl`	Scaling Exponents Across Parameterizations and Optimizers. CoRR Katie Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington
2023	J	`jnl`	GFlowNet-EM for learning compositional latent variable models. CoRR Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio
2023	A*	`conf`	GFlowNets and variational inference. ICLR Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
2023	J	`jnl`	Small-scale proxies for large-scale Transformer training instabilities. CoRR Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie Everett, Alex Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
2022	—	`conf`	Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. CLeaR Sébastien Lachapelle, Pau Rodríguez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
2022	J	`jnl`	GFlowNets and variational inference. CoRR Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
2020	J	`jnl`	Cycles in Causal Learning. CoRR Katie Everett, Ian Fischer
2020	J	`jnl`	Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0). CoRR Shailesh Bavadekar, Andrew M. Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, Gerardo Flores, Evgeniy Gabrilovich, Krishna Gadepalli, Shane Glass, Rayman Huang, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi