Ankur Mallick

According to our database1, Ankur Mallick authored at least 13 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems.
Proceedings of Machine Learning and Systems 2022, 2022

Rateless Sum-Recovery Codes For Distributed Non-Linear Computations.
Proceedings of the IEEE Information Theory Workshop, 2022

2021
Deep kernels with probabilistic embeddings for small-data learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rateless Codes for Distributed Non-linear Computations.
Proceedings of the 11th International Symposium on Topics in Coding, 2021

2020
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.
CoRR, 2020

2019
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Deep Probabilistic Kernels for Sample-Efficient Learning.
CoRR, 2019

Rateless Codes for Distributed Computations with Sparse Compressed Matrices.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication.
CoRR, 2018

2016
Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid.
CoRR, 2016

Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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