Name
Affiliation
Papers
ABHIMANYU DAS
Microsoft Research, Mountain View, CA, USA
29
Collaborators
Citations 
PageRank 
55
314
22.43
Referers 
Referees 
References 
733
642
310
Search Limit
100733
Title
Citations
PageRank
Year
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks00.342021
Robust Pure Exploration In Linear Bandits With Limited Budget00.342021
Dynamic Balancing For Model Selection In Bandits And Rl00.342021
On the Learnability of Random Deep Networks.10.352020
On the Learnability of Deep Random Networks.00.342019
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection.00.342018
Minimizing Latency in Online Ride and Delivery Services.20.392018
Information dissemination in heterogeneous-intent networks.40.482016
Approximate Modularity.10.352015
Modeling opinion dynamics in social networks281.152014
Ranking Twitter discussion groups00.342014
Discovering Topical Aspects in Microblogs.10.352014
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising120.702014
Role of conformity in opinion dynamics in social networks20.402014
Debiasing social wisdom100.552013
Web-scale multi-task feature selection for behavioral targeting20.372012
Factoring past exposure in display advertising targeting40.452012
Selecting Diverse Features via Spectral Regularization.110.472012
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection843.032011
Estimating the average of a Lipschitz-continuous function from one sample00.342010
Sensor Selection for Minimizing Worst-Case Prediction Error190.952008
Algorithms for subset selection in linear regression854.842008
AMBROSia: An Autonomous Model-Based Reactive Observing System10.372007
Adaptive Torque Control Of Electro-Rheological Fluid Brakes Used In Active Knee Rehabilitation Devices30.812006
A generic multi-scale modeling framework for reactive observing systems: an overview30.532006
Data acquisition in multiple-sink sensor networks382.282005
On the Issues in Implementing the Peer Model in Integrated Optical Networks20.502004
A low-state packet marking framework for approximate fair bandwidth allocation10.402004
Leveraging IP signaling and routing to manage UPSR-based transport networks00.342003