Large deviation analysis for learning rate in distributed hypothesis testing. - Anusha Lalitha; Tara Javidi (ACSSC, 2015)

On the rate of learning in distributed hypothesis testing. - Anusha Lalitha; Tara Javidi (Allerton, 2015)

Reliability of sequential hypothesis testing can be achieved by an almost-fixed-length test. - Anusha Lalitha; Tara Javidi (ISIT, 2016)

Measurement dependent noisy search: The Gaussian case. - Anusha Lalitha; Nancy Ronquillo; Tara Javidi (ISIT, 2017)

Learning via active hypothesis testing over networks. - Anusha Lalitha; Tara Javidi (ITW, 2017)

Bit-wise Sequential Coding with Feedback. - Sung-En Chiu; Anusha Lalitha; Tara Javidi (ISIT, 2018)

Improved Target Acquisition Rates With Feedback Codes. - Anusha Lalitha; Nancy Ronquillo; Tara Javidi (IEEE J. Sel. Top. Signal Process., 2018)

Social Learning and Distributed Hypothesis Testing. - Anusha Lalitha; Tara Javidi; Anand D. Sarwate (IEEE Trans. Inf. Theory, 2018)

Automatic Grammar Augmentation for Robust Voice Command Recognition. - Yang Yang 010; Anusha Lalitha; Jinwon Lee; Chris Lott (ICASSP, 2019)

Real-time Binary Posterior Matching. - Anusha Lalitha; Anatoly Khina; Tara Javidi; Victoria Kostina (ISIT, 2019)

Peer-to-peer Federated Learning on Graphs. - Anusha Lalitha; Osman Cihan Kilinc; Tara Javidi; Farinaz Koushanfar (CoRR, 2019)

Decentralized Bayesian Learning over Graphs. - Anusha Lalitha; Xinghan Wang; Osman Cihan Kilinc; Yongxi Lu; Tara Javidi; Farinaz Koushanfar (CoRR, 2019)

Belief Refinement Approaches to Communication and Inference Problems. - Anusha Lalitha (2019)

On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests. - Anusha Lalitha; Tara Javidi (CoRR, 2020)

Causal Posterior Matching and its Applications. - Anusha Lalitha; Anatoly Khina; Tara Javidi (CoRR, 2020)

Bayesian Algorithms for Decentralized Stochastic Bandits. - Anusha Lalitha; Andrea Goldsmith (IEEE J. Sel. Areas Inf. Theory, 2021)

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. - Erdem Biyik; Anusha Lalitha; Rajarshi Saha; Andrea Goldsmith; Dorsa Sadigh (AAAI, 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)

Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances. - Anusha Lalitha; Kousha Kalantari; Yifei Ma; Anoop Deoras; Branislav Kveton (UAI, 2023)

Optimal Design for Human Preference Elicitation. - Subhojyoti Mukherjee; Anusha Lalitha; Kousha Kalantari; Aniket Deshmukh 001; Ge Liu; Yifei Ma; Branislav Kveton (NeurIPS, 2024)

Experimental Design for Active Transductive Inference in Large Language Models. - Subhojyoti Mukherjee; Ge Liu; Aniket Deshmukh 001; Anusha Lalitha; Yifei Ma; Branislav Kveton (CoRR, 2024)

Optimal Design for Human Feedback. - Subhojyoti Mukherjee; Anusha Lalitha; Kousha Kalantari; Aniket Deshmukh 001; Ge Liu; Yifei Ma; Branislav Kveton (CoRR, 2024)

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization. - Subhojyoti Mukherjee; Anusha Lalitha; Sailik Sengupta; Aniket Deshmukh 001; Branislav Kveton (CoRR, 2024)