Unsupervised query segmentation using only query logs. - Nikita Mishra; Rishiraj Saha Roy; Niloy Ganguly; Srivatsan Laxman; Monojit Choudhury (WWW (Companion Volume), 2011)

A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints. - Nikita Mishra; Huazhe Zhang; John D. Lafferty; Henry Hoffmann (ASPLOS, 2015)

(Nearly) Optimal Differentially Private Stochastic Multi-Arm Bandits. - Nikita Mishra; Abhradeep Thakurta (UAI, 2015)

ESP: A Machine Learning Approach to Predicting Application Interference. - Nikita Mishra; John D. Lafferty; Henry Hoffmann (ICAC, 2017)

Memory cocktail therapy: a general learning-based framework to optimize dynamic tradeoffs in NVMs. - Zhaoxia Deng; Lunkai Zhang; Nikita Mishra; Henry Hoffmann; Frederic T. Chong (MICRO, 2017)

CALOREE: Learning Control for Predictable Latency and Low Energy. - Nikita Mishra; Connor Imes; John D. Lafferty; Henry Hoffmann (ASPLOS, 2018)

Generative and multi-phase learning for computer systems optimization. - Yi Ding 006; Nikita Mishra; Henry Hoffmann (ISCA, 2019)

Proteus: Language and Runtime Support for Self-Adaptive Software Development. - Saeid Barati 001; Ferenc A. Bartha; Swarnendu Biswas; Robert Cartwright; Adam Duracz; Donald S. Fussell; Henry Hoffmann; Connor Imes; Jason E. Miller; Nikita Mishra; Arvind 001; Dung Nguyen; et al. (IEEE Softw., 2019)

Countermeasures for Primary User Emulation Attack: A Comprehensive Review. - Nikita Mishra; Sumit Srivastava; Shivendra Nath Sharan (Wirel. Pers. Commun., 2020)

RADDPG: Resource Allocation in Cognitive Radio with Deep Reinforcement Learning. - Nikita Mishra; Sumit Srivastava; Shivendra Nath Sharan (COMSNETS, 2021)

DDPG with Transfer Learning and Meta Learning Framework for Resource Allocation in Underlay Cognitive Radio Network. - Nikita Mishra; Sumit Srivastava; Shivendra Nath Sharan (Wirel. Pers. Commun., 2023)