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ORCIDDhruv Malik
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Journal Articles
- 2024
[j2]Eric Luxenberg
, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd:
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. J. Optim. Theory Appl. 202(3): 1158-1168 (2024)- 2020
- [j1]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: 21:1-21:51 (2020)
Conference and Workshop Papers
- 2024
- [c11]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: 100-109 - 2023
- [c10]Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh:
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. ICML 2023: 23590-23609 - [c9]Zeya Umayya, Dhruv Malik, Devashish Gosain, Piyush Kumar Sharma:
PTPerf: On the Performance Evaluation of Tor Pluggable Transports. IMC 2023: 501-525 - [c8]Kaiqi Jiang, Dhruv Malik, Yuanzhi Li:
How Does Adaptive Optimization Impact Local Neural Network Geometry? NeurIPS 2023 - 2022
- [c7]Dhruv Malik, Yuanzhi Li, Aarti Singh:
Complete Policy Regret Bounds for Tallying Bandits. COLT 2022: 5146-5174 - 2021
- [c6]Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li:
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. ICML 2021: 7412-7422 - [c5]Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar:
When Is Generalizable Reinforcement Learning Tractable? NeurIPS 2021: 8032-8045 - 2019
- [c4]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: 2916-2925 - 2018
- [c3]Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan:
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML 2018: 3391-3399 - 2017
- [c2]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: 49-57 - 2016
- [c1]Sushmita Singh, Musheer Ahmad, Dhruv Malik:
Breaking an image encryption scheme based on chaotic synchronization phenomenon. IC3 2016: 1-4
Informal and Other Publications
- 2024
- [i11]Youngseog Chung, Dhruv Malik, Jeff G. Schneider, Yuanzhi Li, Aarti Singh:
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. CoRR abs/2409.00879 (2024) - 2023
- [i10]Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh:
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. CoRR abs/2305.02955 (2023) - [i9]Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd:
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. CoRR abs/2306.05649 (2023) - [i8]Zeya Umayya, Dhruv Malik, Devashish Gosain, Piyush Kumar Sharma:
PTPerf: On the performance evaluation of Tor Pluggable Transports. CoRR abs/2309.14856 (2023) - 2022
- [i7]Dhruv Malik, Yuanzhi Li, Aarti Singh:
Complete Policy Regret Bounds for Tallying Bandits. CoRR abs/2204.11174 (2022) - [i6]Kaiqi Jiang, Dhruv Malik, Yuanzhi Li:
How Does Adaptive Optimization Impact Local Neural Network Geometry? CoRR abs/2211.02254 (2022) - 2021
- [i5]Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar:
When Is Generalizable Reinforcement Learning Tractable? CoRR abs/2101.00300 (2021) - [i4]Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li:
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. CoRR abs/2106.07814 (2021) - 2018
- [i3]Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan:
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. CoRR abs/1806.03820 (2018) - [i2]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 abs/1812.08305 (2018) - 2017
- [i1]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 abs/1707.06354 (2017)
Coauthor Index
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