Shubham Bharti
Education
| Ph.D. in Computer Science, UW-Madison, US | 2019-present |
| M.S. in Computer Science, UW-Madison, US | 2019-21 |
| B.Tech. in Computer Science and Engineering, IIT Kanpur, India | 2015-19 |
Appointments
- Summer’25 : Applied Scientist Intern
- AWS Agentic AI Team, Santa Clara, CA, US
- Mentors : Vidyashankar Sivakumar, Mukul Prasad
- Summer’23 : Applied Scientist Intern
- Amazon Search Team, Palo Alto, CA, US
- Mentors : Gaurush Hiranandani, Suyash Gupta, Vassilis Ioannidis
- Summer’22 : Research Scholar Visitor
- Computer Science, MPI-SWS, Saarbrücken, Germany
- Supervisor : Prof. Adish Singla
- Summer’20-present : Research Assistant
- Computer Science, UW-Madison, WI, US
- Supervisor: Prof. Jerry Zhu
- Fall’19-Spring’20 : Teaching Assistant
- CS300, Computer Science, UW-Madison, WI, US
- Instructors : Prof. Gary Dahl, Prof. Mouna Kacem, Prof. Hobbes Legault
- Spring’19 : Teaching Assistant
- ESC101, Computer Science and Engineering, IIT Kanpur, UP, India
- Instructor : Prof. Swaprava Nath
- Summer’18: Research Intern
- HLTRI, Computer Science, UT Dallas, TX, US
- Supervisor: Prof. Vincent Ng
Publications
Optimal Dataset Design for Nurture-then-Nature Teaching
Shubham Kumar Bharti, Deep Patel, Xiaojin Zhu, In Submissions 2025 CHARTOM: A Visual Theory-of-Mind Benchmark for LLMs on Misleading Charts
Shubham Bharti, Shiyun Cheng, Jihyun Rho, Jianrui Zhang, Mu Cai, Yong Jae Lee, Martina Rau, Xiaojin Zhu, In Arxiv 2025 In-Context Learning with Hypothesis-Class Guidance
Ziqian Lin, Shubham Bharti, Kangwook Lee, In Arxiv 2025 On the Complexity of Teaching a Family of Linear Behavior Cloning Agents
Shubham Kumar Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu, In NeurIPS 2024 Provable Defense against Backdoor policies in RL
Shubham Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu, In NeurIPS 2022 The Game of Hidden Rules: A New Kind of Benchmark Challenge for ML
Eric Pulick, Shubham Bharti, Yiding Chen, Yonatan Mintz, Paul Kantor, Vicki M. Bier, In Arxiv 2022 Fair Bandits with Cumulative Parity in Rewards
Shubham Kumar Bharti, Kangwook Lee, Xiaojin Zhu, In Preprints 2021 The Sample Complexity of Teaching-by-Reinforcement on Q-Learning
Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla and Xiaojin Zhu, In AAAI 2021 Multitask Neural Networks meets Multitask Gaussian Processes
Karthikeyan K, Shubham Kumar Bharti, Piyush Rai, In Arxiv 2019
