Ankur Mallick

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Load Balancing Strategies

Distributed Environment

Range Query Processing

Temporal Correlation

Top Venues

Publications

Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR (2024)
Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR (2024)
Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys (2022)
Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi
Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication. Commun. ACM 65 (5) (2022)
Ankur Mallick, Gauri Joshi
Rateless Sum-Recovery Codes For Distributed Non-Linear Computations. ITW (2022)
Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. NeurIPS (2021)
Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. CoRR (2021)
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
Deep kernels with probabilistic embeddings for small-data learning. UAI (2021)
Ankur Mallick, Sophie Smith, Gauri Joshi
Rateless Codes for Distributed Non-linear Computations. ISTC (2021)
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning. CoRR (2020)
Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. SIGMETRICS (Abstracts) (2020)
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
Deep Probabilistic Kernels for Sample-Efficient Learning. CoRR (2019)
Ankur Mallick, Malhar Chaudhari, Gauri Joshi
Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes. ICASSP (2019)
Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. Proc. ACM Meas. Anal. Comput. Syst. 3 (3) (2019)
Ankur Mallick, Gauri Joshi
Rateless Codes for Distributed Computations with Sparse Compressed Matrices. ISIT (2019)
Ankur Mallick, Malhar Chaudhari, Gauri Joshi
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. CoRR (2018)
Ankur Mallick, Animesh Kumar
Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations. ICASSP (2016)
Ankur Mallick, Animesh Kumar
Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid. CoRR (2016)