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2020 – today
- 2024
[c10]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- [i9]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 abs/2404.14618 (2024) - [i8]Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan:
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. CoRR abs/2408.13510 (2024) - [i7]Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang:
EcoAct: Economic Agent Determines When to Register What Action. CoRR abs/2411.01643 (2024) - [i6]Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen, Ankur Mallick, Anjaly Parayil, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Renée St. Amant, Rujia Wang, Yue Cheng, Ali Raza Butt, Victor Rühle, Chetan Bansal, Saravan Rajmohan:
Ensuring Fair LLM Serving Amid Diverse Applications. CoRR abs/2411.15997 (2024) - 2022
- [j2]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): 111-118 (2022) - [c9]Ankur Mallick, Gauri Joshi:
Rateless Sum-Recovery Codes For Distributed Non-Linear Computations. ITW 2022: 160-165 - [c8]Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi:
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys 2022 - 2021
- [c7]Ankur Mallick, Sophie Smith, Gauri Joshi:
Rateless Codes for Distributed Non-linear Computations. ISTC 2021: 1-5 - [c6]Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi:
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. NeurIPS 2021: 14280-14292 - [c5]Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Deep kernels with probabilistic embeddings for small-data learning. UAI 2021: 918-928 - [i5]Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi:
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. CoRR abs/2110.07751 (2021) - 2020
- [c4]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: 95-96 - [i4]Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning. CoRR abs/2007.10800 (2020)
2010 – 2019
- 2019
- [j1]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): 58:1-58:40 (2019) - [c3]Ankur Mallick, Malhar Chaudhari, Gauri Joshi:
Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes. ICASSP 2019: 8192-8196 - [c2]Ankur Mallick, Gauri Joshi:
Rateless Codes for Distributed Computations with Sparse Compressed Matrices. ISIT 2019: 2793-2797 - [i3]Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Deep Probabilistic Kernels for Sample-Efficient Learning. CoRR abs/1910.05858 (2019) - 2018
- [i2]Ankur Mallick, Malhar Chaudhari, Gauri Joshi:
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. CoRR abs/1804.10331 (2018) - 2016
- [c1]Ankur Mallick, Animesh Kumar:
Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations. ICASSP 2016: 4014-4018 - [i1]Ankur Mallick, Animesh Kumar:
Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid. CoRR abs/1611.10211 (2016)
Coauthor Index
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