Sanath Kumar Krishnamurthy

22 papers A* 5A 4Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Exploration for Latent-State Bandits. CoRR Jikai Jin, Kenneth Hung, Sanath Kumar Krishnamurthy, Baoyi Shi, Congshan Zhang
2026	J	`jnl`	Robust Post-Training for Generative Recommenders: Why Exponential Reward-Weighted SFT Outperforms RLHF. CoRR Keertana Chidambaram, Sanath Kumar Krishnamurthy, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya
2025	A*	`conf`	Selective Uncertainty Propagation in Offline RL. AAAI Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi
2024	J	`jnl`	Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt. CoRR Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill
2024	A	`conf`	Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. AISTATS Sanath Kumar Krishnamurthy, Adrienne Margaret Propp, Susan Athey
2023	A	`conf`	Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. AISTATS Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
2023	A*	`conf`	Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023	J	`jnl`	Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023	J	`jnl`	Selective Uncertainty Propagation in Offline RL. CoRR Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi
2022	J	`jnl`	Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams
2022	J	`jnl`	Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle. CoRR Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
2021	A*	`conf`	Adapting to misspecification in contextual bandits with offline regression oracles. ICML Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2021	J	`jnl`	Adapting to misspecification in contextual bandits with offline regression oracles. CoRR Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2021	J	`jnl`	Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles. CoRR Sanath Kumar Krishnamurthy, Susan Athey
2021	A	`conf`	Tractable contextual bandits beyond realizability. AISTATS Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2020	J	`jnl`	Approximation Algorithms for Maximin Fair Division. ACM Trans. Economics and Comput. Siddharth Barman, Sanath Kumar Krishnamurthy
2020	J	`jnl`	Survey Bandits with Regret Guarantees. CoRR Sanath Kumar Krishnamurthy, Susan Athey
2020	J	`jnl`	Tractable contextual bandits beyond realizability. CoRR Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2019	A*	`conf`	On the Proximity of Markets with Integral Equilibria. AAAI Siddharth Barman, Sanath Kumar Krishnamurthy
2018	A*	`conf`	Finding Fair and Efficient Allocations. EC Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish
2018	A	`conf`	Greedy Algorithms for Maximizing Nash Social Welfare. AAMAS Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish
2018	J	`jnl`	On the Proximity of Markets with Integral Equilibria. CoRR Siddharth Barman, Sanath Kumar Krishnamurthy

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.