Bryan D. He

11 papers A 1Misc 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2018 A conf
Accelerated Stochastic Power Iteration.
AISTATS
Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2017 J jnl
Accelerated Stochastic Power Iteration.
CoRR
Christopher De Sa, Bryan D. He, Ioannis Mitliagkas, Christopher Ré, Peng Xu
2017 — conf
Inferring Generative Model Structure with Static Analysis.
NIPS
Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré
2017 J jnl
Inferring Generative Model Structure with Static Analysis.
CoRR
Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré
2016 — conf
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much.
NIPS
Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2016 J jnl
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much.
CoRR
Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2015 Misc conf
Feasibility of FRI-based square-wave reconstruction with quantization error and integrator noise.
ICASSP
Bryan D. He, Alexander Wein, Lakshminarayan Srinivasan
2015 — conf
Smooth Interactive Submodular Set Cover.
NIPS
Bryan D. He, Yisong Yue
2014 Misc conf
Neural shaping with joint optimization of controller and plant under restricted dynamics.
ITA
Bryan D. He, Lakshminarayan Srinivasan
2013 J jnl
Dynamic Analysis of Naive Adaptive Brain-Machine Interfaces.
Neural Comput.
Kevin C. Kowalski, Bryan D. He, Lakshminarayan Srinivasan
2012 — conf
Optimal Binary Representation of Mosaic Floorplans and Baxter Permutations.
FAW-AAIM
Bryan D. He