Krishna Acharya

According to our database, Krishna Acharya authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Design and Implementation of a Multi-Purpose Low-Cost Hall-Effect Sensor Glove for Sign Language Recognition.

Dinanath Padhya, Jenish Pant, Krishna Acharya, Sajen Maharjan, Sudip Kumar Thakur

CoRR, January, 2026

2025

CNN-LSTM Hybrid Architecture for Over-the-Air Automatic Modulation Classification Using SDR.

Dinanath Padhya, Krishna Acharya, Bipul Kumar Dahal, Dinesh Baniya Kshatri

CoRR, November, 2025

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation.

Krishna Acharya, Aleksandr V. Petrov, Juba Ziani

CoRR, June, 2025

Multi-Agent Performative Prediction Beyond the Insensitivity Assumption: A Case Study for Mortgage Competition.

Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan, Vidya Muthukumar, Juba Ziani

CoRR, February, 2025

Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems.

Krishna Acharya, Juba Ziani, Jingyan Wang, Varun Vangala

Trans. Mach. Learn. Res., 2025

Improving Minimax Group Fairness in Sequential Recommendation.

Krishna Acharya, David Wardrope, Timos Korres, Aleksandr V. Petrov, Anders Uhrenholt

Proceedings of the Advances in Information Retrieval, 2025

2024

Personalized Differential Privacy for Ridge Regression.

Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani

CoRR, 2024

One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits.

Etash Guha, Jim James, Krishna Acharya, Vidya Muthukumar, Ashwin Pananjady

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Oracle Efficient Algorithms for Groupwise Regret.

Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Wealth Dynamics Over Generations: Analysis and Interventions.

Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023