Lauren Hannah

According to our database, Lauren Hannah authored at least 13 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TIDE: Every Layer Knows the Token Beneath the Context.

Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Mehrdad Farajtabar, Minsik Cho

CoRR, May, 2026

MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers.

Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho

CoRR, February, 2026

2025

MoE-PHDS: One MoE checkpoint for flexible runtime sparsity.

Lauren A. Hannah, Soheil Zibakhsh, Kumari Nishu, Arnav Kundu, Mohammad Samragh Razlighi, Mehrdad Farajtabar, Minsik Cho

CoRR, September, 2025

MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE.

Soheil Zibakhsh, Mohammad Samragh, Kumari Nishu, Lauren Hannah, Arnav Kundu, Minsik Cho

CoRR, September, 2025

2021

It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US.

Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox

npj Digit. Medicine, 2021

2014

Semiconvex Regression for Metamodeling-Based Optimization.

Lauren A. Hannah, Warren B. Powell, David B. Dunson

SIAM J. Optim., 2014

2013

Multivariate convex regression with adaptive partitioning.

Lauren Hannah, David B. Dunson

J. Mach. Learn. Res., 2013

2012

Beta-Negative Binomial Process and Poisson Factor Analysis.

Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design.

Lauren Hannah, David B. Dunson

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Dirichlet Process Mixtures of Generalized Linear Models.

Lauren Hannah, David M. Blei, Warren B. Powell

J. Mach. Learn. Res., 2011

Approximate Dynamic Programming for Storage Problems.

Lauren Hannah, David B. Dunson

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Evolutionary Policy Iteration Under a Sampling Regime for Stochastic Combinatorial Optimization.

Lauren Hannah, Warren B. Powell

IEEE Trans. Autom. Control., 2010

Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable.

Lauren Hannah, Warren B. Powell, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010