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Subhodeep Moitra
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Google vizier: A service for black-box optimization
D Golovin, B Solnik, S Moitra, G Kochanski, J Karro, D Sculley
Proceedings of the 23rd ACM SIGKDD international conference on knowledge†…, 2017
6122017
The hanabi challenge: A new frontier for ai research
N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ...
Artificial Intelligence 280, 103216, 2020
2102020
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
1942018
Autonomous navigation of stratospheric balloons using reinforcement learning
MG Bellemare, S Candido, PS Castro, J Gong, MC Machado, S Moitra, ...
Nature 588 (7836), 77-82, 2020
1262020
Learning to fix build errors with graph2diff neural networks
D Tarlow, S Moitra, A Rice, Z Chen, PA Manzagol, C Sutton, E Aftandilian
Proceedings of the IEEE/ACM 42nd International Conference on Software†…, 2020
492020
Distributional reinforcement learning with linear function approximation
MG Bellemare, N Le Roux, PS Castro, S Moitra
The 22nd International Conference on Artificial Intelligence and Statistics†…, 2019
212019
Bayesian optimization for a better dessert
G Kochanski, D Golovin, J Karro, B Solnik, S Moitra, D Sculley
NIPS, workshop on Bayesian optimization, 2017
172017
Optimization of Parameter Values for Machine-Learned Models
DR Golovin, B Solnik, S Moitra, IIDW Sculley, GP Kochanski
US Patent App. 16/615,303, 2020
142020
Bayesian optimization for a better dessert
B Solnik, D Golovin, G Kochanski, JE Karro, S Moitra, D Sculley
122017
A minimal ligand binding pocket within a network of correlated mutations identified by multiple sequence and structural analysis of G protein coupled receptors
S Moitra, KC Tirupula, J Klein-Seetharaman, CJ Langmead
BMC biophysics 5 (1), 1-17, 2012
82012
Fast training of sparse graph neural networks on dense hardware
M Balog, B van MerriŽnboer, S Moitra, Y Li, D Tarlow
arXiv preprint arXiv:1906.11786, 2019
72019
Time-varying gaussian graphical models of molecular dynamics data
NS Razavian, S Moitra, H Kamisetty, A Ramanathan, CJ Langmead
Proceedings of 3DSIG, 2010
72010
Optimization of Parameters of a System, Product, or Process
DR Golovin, B Solnik, S Moitra, IIDW Sculley
US Patent App. 16/495,295, 2020
42020
PLUR: A unifying, graph-based view of program learning, understanding, and repair
Z Chen, VJ Hellendoorn, P Lamblin, P Maniatis, PA Manzagol, D Tarlow, ...
Advances in Neural Information Processing Systems 34, 23089-23101, 2021
32021
Analogies between structural and systems biology and systems-of-systems engineering in dynamic environments
S Moitra, N Yanamala, O Tastan, I Singh, CJ Langmead, ...
2010 5th International Conference on System of Systems Engineering, 1-7, 2010
12010
Optimizing sparse graph neural networks for dense hardware
DS Tarlow, M Balog, B Van Merrienboer, Y Li, S Moitra
US Patent App. 16/883,209, 2020
2020
Feature Learning and Graphical Models for Protein Sequences
S Moitra
Carnegie Mellon University Pittsburgh, PA, 2015
2015
Dopamine: A framework for flexible Reinforcement Learning research
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
HARCHOL-BALTER, Mor CMU-CS-10-107, CMU-CS-10-108 HAVERKAMP, Donna S. CMU-CS-10-144 HORNE, James H. CMU-CS-10-144 HUGHES, Ellen K. CMU-CS-10-144
L IFTODE, SK JHA, H KAMISETTY, S KAUL, RC KELLY, G KIM, HA KIM, ...
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