Gaurush Hiranandani
Cited by
Cited by
Providing personalized alerts and anomaly summarization
N Modani, IA Burhanuddin, G Hiranandani, SK Saini
US Patent App. 15/238,208, 2018
Small circulant complex Hadamard matrices of Butson type
G Hiranandani, JM Schlenker
European Journal of Combinatorics 51, 306-314, 2016
Selecting representative metrics datasets for efficient detection of anomalous data
N Modani, G Hiranandani
US Patent 10,009,363, 2018
Cascading linear submodular bandits: Accounting for position bias and diversity in online learning to rank
G Hiranandani, H Singh, P Gupta, IA Burhanuddin, Z Wen, B Kveton
Uncertainty in Artificial Intelligence, 722-732, 2020
Identifying augmented reality visuals influencing user behavior in virtual-commerce environments
G Hiranandani, C Varsha, SVR Maram, K Ayush, AR Sinha
US Patent 10,163,269, 2018
Method, medium, and system for product recommendations based on augmented reality viewpoints
G Hiranandani, SVR Maram, K Ayush, C Varsha, S Jain
US Patent 10,475,103, 2019
Multiclass performance metric elicitation
G Hiranandani, S Boodaghians, R Mehta, OO Koyejo
Advances in Neural Information Processing Systems 32, 2019
Propagation of changes in master content to variant content
BV Srinivasan, N Modani, G Hiranandani, H Jhamtani, C Huesler, ...
US Patent 10,102,191, 2018
Sparse decomposition for time series forecasting and anomaly detection
S Choudhary, G Hiranandani, SK Saini
Proceedings of the 2018 SIAM International Conference on Data Mining, 522-530, 2018
Extracting seasonal, level, and spike components from a time series of metrics data
SK Saini, S Choudhary, G Hiranandani
US Patent 10,628,435, 2020
Performance metric elicitation from pairwise classifier comparisons
G Hiranandani, S Boodaghians, R Mehta, O Koyejo
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Anomaly detection at coarser granularity of data
SK Saini, T Paulsen, M Sinha, G Hiranandani
US Patent 10,528,533, 2020
Fair performance metric elicitation
G Hiranandani, H Narasimhan, S Koyejo
Advances in Neural Information Processing Systems 33, 11083-11095, 2020
Summarizing multimedia content
N Modani, P Maneriker, G Hiranandani, AR Sinha, V Subramanian, ...
International Conference on Web Information Systems Engineering, 340-348, 2016
Optimization and Analysis of the pAp@ k Metric for Recommender Systems
G Hiranandani, W Vijitbenjaronk, S Koyejo, P Jain
International Conference on Machine Learning, 4260-4270, 2020
Determining quality of a summary of multimedia content
N Modani, V Subramanian, S Gupta, PR Maneriker, G Hiranandani, ...
US Patent 9,454,524, 2016
Generating and providing augmented reality representations of recommended products based on style compatibility in relation to real-world surroundings
K Ayush, G Hiranandani
US Patent 10,789,622, 2020
Rich-item recommendations for rich-users via gcnn: Exploiting dynamic and static side information
A Budhiraja, G Hiranandani, N Yarrabelly, A Choure, O Koyejo, P Jain
Target audience content interaction quantification
S Gupta, G Hiranandani, A Agrawal, CS Ghai
US Patent 10,445,783, 2019
Selecting representative metrics datasets for efficient detection of anomalous data
N Modani, G Hiranandani
US Patent 10,200,393, 2019
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