Vikas K. Garg

I am a PhD student in Computer Science at MIT, where I work with Prof. Tommi Jaakkola on Machine Learning. Previously, I spent some time at Microsoft Research and IBM Research Labs. Some of my recent publications can be accessed below (a more complete list can be found here).

V. K. Garg, O. Dekel, and L. Xiao. Learning SMaLL Predictors, NeurIPS, 2018.
(PDF)

V. K. Garg and A. Kalai. Supervising Unsupervised Learning, NeurIPS, 2018 (**Spotlight**). (PDF) (Talk)

V. K. Garg and T. Jaakkola. Local Aggregative Games, NIPS, 2017. (PDF)

V. K. Garg and T. Jaakkola. Learning Tree Structured Potential Games, NIPS, 2016. (PDF)

V. K. Garg, C. Rudin, and T. Jaakkola. CRAFT: ClusteR-specific Assorted Feature selecTion, AISTATS, 2016. (PDF) (Code)

S. Shankar, V. K. Garg, and R. Cipolla. Deep Carving: Discovering Visual Attributes by Carving Deep Neural Nets, CVPR, 2015. (PDF)

R. Kondor, N. Teneva, and V. K. Garg. Multiresolution Matrix Factorization, ICML, 2014. (PDF)

V. K. Garg, T. S. Jayram, and B. Narayanaswamy. Online Optimization with Dynamic Temporal Uncertainty, AAAI, 2013. (PDF)

S. Kpotufe and V. K. Garg. Adaptivity to Local Smoothness and Dimension in Kernel Regression, NIPS, 2013. (PDF)

V. K. Garg, M. N. Murty, and Y. Narahari. Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory, TKDE, 2013. (PDF)

P. Agrawal(+), V. K. Garg(+), and R. Narayanam. Link Label Prediction in Signed Social Networks, IJCAI, 2013. (PDF) [(+):** Equal Contribution**]

V. K. Garg and A. Kalai. Supervising Unsupervised Learning, NeurIPS, 2018 (

V. K. Garg and T. Jaakkola. Local Aggregative Games, NIPS, 2017. (PDF)

V. K. Garg and T. Jaakkola. Learning Tree Structured Potential Games, NIPS, 2016. (PDF)

V. K. Garg, C. Rudin, and T. Jaakkola. CRAFT: ClusteR-specific Assorted Feature selecTion, AISTATS, 2016. (PDF) (Code)

S. Shankar, V. K. Garg, and R. Cipolla. Deep Carving: Discovering Visual Attributes by Carving Deep Neural Nets, CVPR, 2015. (PDF)

R. Kondor, N. Teneva, and V. K. Garg. Multiresolution Matrix Factorization, ICML, 2014. (PDF)

V. K. Garg, T. S. Jayram, and B. Narayanaswamy. Online Optimization with Dynamic Temporal Uncertainty, AAAI, 2013. (PDF)

S. Kpotufe and V. K. Garg. Adaptivity to Local Smoothness and Dimension in Kernel Regression, NIPS, 2013. (PDF)

V. K. Garg, M. N. Murty, and Y. Narahari. Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory, TKDE, 2013. (PDF)

P. Agrawal(+), V. K. Garg(+), and R. Narayanam. Link Label Prediction in Signed Social Networks, IJCAI, 2013. (PDF) [(+):