Anusha Lalitha

Orcid: 0000-0003-4179-7151

According to our database1, Anusha Lalitha authored at least 21 papers between 2015 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Optimal Design for Human Feedback.
CoRR, 2024

Experimental Design for Active Transductive Inference in Large Language Models.
CoRR, 2024

2023
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs.
IEEE J. Sel. Areas Inf. Theory, 2022

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Bayesian Algorithms for Decentralized Stochastic Bandits.
IEEE J. Sel. Areas Inf. Theory, 2021

2020
Causal Posterior Matching and its Applications.
CoRR, 2020

On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests.
CoRR, 2020

2019
Belief Refinement Approaches to Communication and Inference Problems.
PhD thesis, 2019

Decentralized Bayesian Learning over Graphs.
CoRR, 2019

Peer-to-peer Federated Learning on Graphs.
CoRR, 2019

Real-time Binary Posterior Matching.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Automatic Grammar Augmentation for Robust Voice Command Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Social Learning and Distributed Hypothesis Testing.
IEEE Trans. Inf. Theory, 2018

Improved Target Acquisition Rates With Feedback Codes.
IEEE J. Sel. Top. Signal Process., 2018

Bit-wise Sequential Coding with Feedback.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Learning via active hypothesis testing over networks.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Measurement dependent noisy search: The Gaussian case.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Reliability of sequential hypothesis testing can be achieved by an almost-fixed-length test.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
On the rate of learning in distributed hypothesis testing.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Large deviation analysis for learning rate in distributed hypothesis testing.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015


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