Dhruv Malik

According to our database, Dhruv Malik authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY.

Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd

J. Optim. Theory Appl., September, 2024

Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts.

Youngseog Chung, Dhruv Malik, Jeff G. Schneider, Yuanzhi Li, Aarti Singh

CoRR, 2024

COMEX: Deeply Observing Application Behavior on Real Android Devices.

Zeya Umayya, Dhruv Malik, Arpit Nandi, Akshat Kumar, Sareena Karapoola, Sambuddho Chakravarty

Proceedings of the 17th Cyber Security Experimentation and Test Workshop, 2024

2023

How Does Adaptive Optimization Impact Local Neural Network Geometry?

Kaiqi Jiang, Dhruv Malik, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PTPerf: On the Performance Evaluation of Tor Pluggable Transports.

Zeya Umayya, Dhruv Malik, Devashish Gosain, Piyush Kumar Sharma

Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality.

Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh

Proceedings of the International Conference on Machine Learning, 2023

2022

Complete Policy Regret Bounds for Tallying Bandits.

Dhruv Malik, Yuanzhi Li, Aarti Singh

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

When Is Generalizable Reinforcement Learning Tractable?

Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity.

Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems.

Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright

J. Mach. Learn. Res., 2020

2018

An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning.

Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Pragmatic-Pedagogic Value Alignment.

Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan

Proceedings of the Robotics Research, The 18th International Symposium, 2017

2016

Breaking an image encryption scheme based on chaotic synchronization phenomenon.

Sushmita Singh, Musheer Ahmad, Dhruv Malik

Proceedings of the Ninth International Conference on Contemporary Computing, 2016