Sum-networks from undirected graphs: Construction and capacity analysis. - Ardhendu Tripathy; Aditya Ramamoorthy (Allerton, 2014)

Robust Multi-Source Localization Over Planar Arrays Using MUSIC-Group Delay Spectrum. - Lalan Kumar; Ardhendu Tripathy; Rajesh M. Hegde (IEEE Trans. Signal Process., 2014)

Capacity of sum-networks for different message alphabets. - Ardhendu Tripathy; Aditya Ramamoorthy (ISIT, 2015)

On computation rates for arithmetic sum. - Ardhendu Tripathy; Aditya Ramamoorthy (ISIT, 2016)

Zero-error Function Computation on a Directed Acyclic Network. - Ardhendu Tripathy; Aditya Ramamoorthy (ITW, 2018)

Sum-Networks From Incidence Structures: Construction and Capacity Analysis. - Ardhendu Tripathy; Aditya Ramamoorthy (IEEE Trans. Inf. Theory, 2018)

Privacy-Preserving Adversarial Networks. - Ardhendu Tripathy; Ye Wang 001; Prakash Ishwar (Allerton, 2019)

MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. - Sumeet Katariya; Ardhendu Tripathy; Robert D. Nowak (NeurIPS, 2019)

Learning Nearest Neighbor Graphs from Noisy Distance Samples. - Blake Mason; Ardhendu Tripathy; Robert D. Nowak (NeurIPS, 2019)

Finding All $ epsilon$-Good Arms in Stochastic Bandits. - Blake Mason; Lalit Jain; Ardhendu Tripathy; Robert Nowak 001 (NeurIPS, 2020)

Optimal Confidence Regions for the Multinomial Parameter. - Matthew L. Malloy; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

Finding All ε-Good Arms in Stochastic Bandits. - Blake Mason; Lalit Jain; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. - Subhojyoti Mukherjee; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

Optimal Confidence Sets for the Multinomial Parameter. - Matthew L. Malloy; Ardhendu Tripathy; Robert D. Nowak (ISIT, 2021)

Nearest neighbor search under uncertainty. - Blake Mason; Ardhendu Tripathy; Robert Nowak 001 (UAI, 2021)

Chernoff Sampling for Active Testing and Extension to Active Regression. - Subhojyoti Mukherjee; Ardhendu S. Tripathy; Robert D. Nowak (AISTATS, 2022)

Using Geographic Location-based Public Health Features in Survival Analysis. - Navid Seidi; Ardhendu Tripathy; Sajal K. Das 001 (CHASE, 2023)

LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training. - Shreen Gul; Mohamed Elmahallawy; Sanjay Madria; Ardhendu Tripathy (IEEE Big Data, 2024)

FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information. - Shreen Gul; Mohamed Elmahallawy; Sanjay Madria; Ardhendu Tripathy (IEEE Big Data, 2024)

Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models. - Navid Seidi; Satyaki Roy; Sajal K. Das 001; Ardhendu Tripathy (HealthCom, 2024)