Indraneel Mukherjee

Department of Computer Science, Princeton University, 35 Olden Street, Princeton, NJ 08540

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Parallel Boosting with Momentum

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

ECML/PKDD (3), pp.17-32, (2013)

Cited by27EIBibtex

The rate of convergence of AdaBoost

Indraneel Mukherjee,Cynthia Rudin,Robert E. Schapire

Journal of Machine Learning Research, no. Issue-in-Progress (2013): 2315-2347

Cited by39EIBibtex

A theory of multiclass boosting

Indraneel Mukherjee,Robert E. Schapire

Journal of Machine Learning Research, no. 1 (2013): 437-497

Cited by105EIBibtex

Game theory and optimization in boosting

Robert E. Schapire,Indraneel Mukherjee

Game theory and optimization in boosting, (2011)

EIBibtex

Learning with continuous experts using drifting games

Indraneel Mukherjee,Robert E. Schapire

Theoretical Computer Science, no. 29-30 (2010): 2670-2683

Cited by9EIBibtex

Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation

Indraneel Mukherjee,David M. Blei

NIPS, pp.1129-1136, (2008)

Cited by24EIBibtex

Learning with Continuous Experts Using Drifting Games

Indraneel Mukherjee,Robert E. Schapire

ALGORITHMIC LEARNING THEORY, PROCEEDINGS, (2008): 240-255

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Learning with Continuous Experts Using Drifting Games

Indraneel Mukherjee,Robert E. Schapire

ALT, pp.240-255, (2008)

EIBibtex

A new model for Multiclass Boosting

Indraneel Mukherjee,Robert E. Schapire

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A mini course on additive combinatorics

Avi Wigderson,Aditya Bhaskara, Arnab Bhattacharyya,Moritz Hardt,Cathy Lennon,Kevin Matulef,Rajsekar Manokaran,Indraneel Mukherjee,Aaron Roth,Shubhangi Saraf,David Steurer,Aravindan Vijayaraghavan

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