Anusha Lalitha

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal Design for Human Feedback.

Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton

CoRR, 2024

Experimental Design for Active Transductive Inference in Large Language Models.

Subhojyoti Mukherjee, Ge Liu, Aniket Deshmukh, Anusha Lalitha, Yifei Ma, Branislav Kveton

CoRR, 2024

2023

Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances.

Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs.

Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar

IEEE J. Sel. Areas Inf. Theory, 2022

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams.

Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bayesian Algorithms for Decentralized Stochastic Bandits.

Anusha Lalitha, Andrea Goldsmith

IEEE J. Sel. Areas Inf. Theory, 2021

2020

Causal Posterior Matching and its Applications.

Anusha Lalitha, Anatoly Khina, Tara Javidi

CoRR, 2020

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

Anusha Lalitha, Tara Javidi

CoRR, 2020

2019

Belief Refinement Approaches to Communication and Inference Problems.

Anusha Lalitha

PhD thesis, 2019

Decentralized Bayesian Learning over Graphs.

Anusha Lalitha, Xinghan Wang, Osman Cihan Kilinc, Yongxi Lu, Tara Javidi, Farinaz Koushanfar

CoRR, 2019

Peer-to-peer Federated Learning on Graphs.

Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, Farinaz Koushanfar

CoRR, 2019

Real-time Binary Posterior Matching.

Anusha Lalitha, Anatoly Khina, Tara Javidi, Victoria Kostina

Proceedings of the IEEE International Symposium on Information Theory, 2019

Automatic Grammar Augmentation for Robust Voice Command Recognition.

Yang Yang, Anusha Lalitha, Jinwon Lee, Chris Lott

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Social Learning and Distributed Hypothesis Testing.

Anusha Lalitha, Tara Javidi, Anand D. Sarwate

IEEE Trans. Inf. Theory, 2018

Improved Target Acquisition Rates With Feedback Codes.

Anusha Lalitha, Nancy Ronquillo, Tara Javidi

IEEE J. Sel. Top. Signal Process., 2018

Bit-wise Sequential Coding with Feedback.

Sung-En Chiu, Anusha Lalitha, Tara Javidi

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Learning via active hypothesis testing over networks.

Anusha Lalitha, Tara Javidi

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Measurement dependent noisy search: The Gaussian case.

Anusha Lalitha, Nancy Ronquillo, Tara Javidi

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.

Anusha Lalitha, Tara Javidi

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

On the rate of learning in distributed hypothesis testing.

Anusha Lalitha, Tara Javidi

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Large deviation analysis for learning rate in distributed hypothesis testing.

Anusha Lalitha, Tara Javidi

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015