venkatesh-saligrama.github.io

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Data Science and Machine Learning (Saligrama Lab)

Venkatesh Saligrama AI Professor and Amazon Scholar Department of Electrical and Computer Engineering Department of Computer Science (by courtesy) 8 St. Mary’s Street, Room 438, Boston University, MA 02215 srv@bu (add dot edu) Research Interests Resource-Constrained Learning Efficient Training and Inference: Federated Training for Heterogenous Devices and Data Budgeted Learning: Test-time Feature Acquisition Costs Hybrid Inference: IoT/Cloud models, Selective Classification Learning with Limited Supervision In-Context Learning: Meta-Learning, Contextual Reinforcement Learning



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Data Science and Machine Learning (Saligrama Lab)

https://venkatesh-saligrama.github.io/

Venkatesh Saligrama AI Professor and Amazon Scholar Department of Electrical and Computer Engineering Department of Computer Science (by courtesy) 8 St. Mary’s Street, Room 438, Boston University, MA 02215 srv@bu (add dot edu) Research Interests Resource-Constrained Learning Efficient Training and Inference: Federated Training for Heterogenous Devices and Data Budgeted Learning: Test-time Feature Acquisition Costs Hybrid Inference: IoT/Cloud models, Selective Classification Learning with Limited Supervision In-Context Learning: Meta-Learning, Contextual Reinforcement Learning



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https://venkatesh-saligrama.github.io/

Data Science and Machine Learning (Saligrama Lab)

Venkatesh Saligrama AI Professor and Amazon Scholar Department of Electrical and Computer Engineering Department of Computer Science (by courtesy) 8 St. Mary’s Street, Room 438, Boston University, MA 02215 srv@bu (add dot edu) Research Interests Resource-Constrained Learning Efficient Training and Inference: Federated Training for Heterogenous Devices and Data Budgeted Learning: Test-time Feature Acquisition Costs Hybrid Inference: IoT/Cloud models, Selective Classification Learning with Limited Supervision In-Context Learning: Meta-Learning, Contextual Reinforcement Learning

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      Venkatesh Saligrama AI Professor and Amazon Scholar Department of Electrical and Computer Engineering Department of Computer Science (by courtesy) 8 St. Mary’s Street, Room 438, Boston University, MA 02215 srv@bu (add dot edu) Research Interests Resource-Constrained Learning Efficient Training and Inference: Federated Training for Heterogenous Devices and Data Budgeted Learning: Test-time Feature Acquisition Costs Hybrid Inference: IoT/Cloud models, Selective Classification Learning with Limited Supervision In-Context Learning: Meta-Learning, Contextual Reinforcement Learning
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