On the fine asymptotics of information theoretic privacy. - Kousha Kalantari; Oliver Kosut; Lalitha Sankar (Allerton, 2016)

Optimal differential privacy mechanisms under Hamming distortion for structured source classes. - Kousha Kalantari; Lalitha Sankar; Anand D. Sarwate (ISIT, 2016)

The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. - Kousha Kalantari; Lalitha Sankar; Anand D. Sarwate (CoRR, 2016)

On information-theoretic privacy with general distortion cost functions. - Kousha Kalantari; Lalitha Sankar; Oliver Kosut (ISIT, 2017)

Information-Theoretic Privacy with General Distortion Constraints. - Kousha Kalantari; Oliver Kosut; Lalitha Sankar (CoRR, 2017)

Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. - Kousha Kalantari; Lalitha Sankar; Anand D. Sarwate (IEEE Trans. Inf. Forensics Secur., 2018)

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)

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

Language-Model Prior Overcomes Cold-Start Items. - Shiyu Wang; Hao Ding; Yupeng Gu; Sergül Aydöre; Kousha Kalantari; Branislav Kveton (CoRR, 2024)

Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe. - Kiran Koshy Thekumparampil; Gaurush Hiranandani; Kousha Kalantari; Shoham Sabach; Branislav Kveton (CoRR, 2024)

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. - Rohan Deb; Kiran Koshy Thekumparampil; Kousha Kalantari; Gaurush Hiranandani; Shoham Sabach; Branislav Kveton (CoRR, 2025)