Dhruv Malik

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Continuous State

Bayesian Nonparametric

Top Venues

Publications

Zeya Umayya, Dhruv Malik, Arpit Nandi, Akshat Kumar, Sareena Karapoola, Sambuddho Chakravarty
COMEX: Deeply Observing Application Behavior on Real Android Devices. CSET @ USENIX Security Symposium (2024)
Zeya Umayya, Dhruv Malik, Devashish Gosain, Piyush Kumar Sharma
PTPerf: On the Performance Evaluation of Tor Pluggable Transports. IMC (2023)
Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. ICML (2023)
Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. CoRR (2023)
Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. CoRR (2023)
Zeya Umayya, Dhruv Malik, Devashish Gosain, Piyush Kumar Sharma
PTPerf: On the performance evaluation of Tor Pluggable Transports. CoRR (2023)
Kaiqi Jiang, Dhruv Malik, Yuanzhi Li
How Does Adaptive Optimization Impact Local Neural Network Geometry? NeurIPS (2023)
Dhruv Malik, Yuanzhi Li, Aarti Singh
Complete Policy Regret Bounds for Tallying Bandits. CoRR (2022)
Dhruv Malik, Yuanzhi Li, Aarti Singh
Complete Policy Regret Bounds for Tallying Bandits. COLT (2022)
Kaiqi Jiang, Dhruv Malik, Yuanzhi Li
How Does Adaptive Optimization Impact Local Neural Network Geometry? CoRR (2022)
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. ICML (2021)
Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar
When Is Generalizable Reinforcement Learning Tractable? NeurIPS (2021)
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. CoRR (2021)
Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar
When Is Generalizable Reinforcement Learning Tractable? CoRR (2021)
Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. J. Mach. Learn. Res. 21 (2020)
Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. AISTATS (2019)
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart J. Russell, Anca D. Dragan
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. CoRR (2018)
Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. CoRR (2018)
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart J. Russell, Anca D. Dragan
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML (2018)
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
Pragmatic-Pedagogic Value Alignment. ISRR (2017)
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
Pragmatic-Pedagogic Value Alignment. CoRR (2017)
Sushmita Singh, Musheer Ahmad, Dhruv Malik
Breaking an image encryption scheme based on chaotic synchronization phenomenon. IC3 (2016)