Indraneel Mukherjee

According to our database, Indraneel Mukherjee authored at least 6 papers between 2008 and 2021.

Collaborative distances:

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

2021

Multiclass Boosting and the Cost of Weak Learning.

Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2013

A theory of multiclass boosting.

Indraneel Mukherjee, Robert E. Schapire

J. Mach. Learn. Res., 2013

The rate of convergence of AdaBoost.

Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire

J. Mach. Learn. Res., 2013

Parallel Boosting with Momentum.

Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2010

Learning with continuous experts using drifting games.

Indraneel Mukherjee, Robert E. Schapire

Theor. Comput. Sci., 2010

2008

Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation.

Indraneel Mukherjee, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 21, 2008