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Indraneel Mukherjee
Indraneel Mukherjee
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A theory of multiclass boosting
I Mukherjee, RE Schapire
Advances in Neural Information Processing Systems 23, 2010
1402010
The rate of convergence of AdaBoost
I Mukherjee, C Rudin, RE Schapire
Association for Computing Machinery (ACM), 2013
702013
Parallel boosting with momentum
I Mukherjee, K Canini, R Frongillo, Y Singer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
432013
Relative performance guarantees for approximate inference in latent Dirichlet allocation
I Mukherjee, D Blei
Advances in Neural Information Processing Systems 21, 2008
422008
Sibyl: A system for large scale supervised machine learning
K Canini, T Chandra, E Ie, J McFadden, K Goldman, M Gunter, J Harmsen, ...
Technical Talk 1 (113), 2.3, 2012
392012
A theory of multiclass boosting
I Mukherjee, RE Schapire
arXiv preprint arXiv:1108.2989, 2011
222011
Learning with continuous experts using drifting games
I Mukherjee, RE Schapire
Theoretical Computer Science 411 (29-30), 2670-2683, 2010
112010
The convergence rate of AdaBoost
I Mukherjee, C Rudin, R Schapire
COLT, 2011
92011
Multiclass boosting and the cost of weak learning
N Brukhim, E Hazan, S Moran, I Mukherjee, RE Schapire
Advances in Neural Information Processing Systems 34, 3057-3067, 2021
62021
Learning with continuous experts using drifting games
I Mukherjee, RE Schapire
Algorithmic Learning Theory: 19th International Conference, ALT 2008 …, 2008
42008
Game theory and optimization in boosting
I Mukherjee
Princeton University, 2011
2011
A new model for Multiclass Boosting
I Mukherjee, RE Schapire
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Articles 1–12