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Aditya Gopalan
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2020 – today
- 2024
- [c47]Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh:
A Unified Framework for Discovering Discrete Symmetries. AISTATS 2024: 793-801 - [c46]Sho Takemori, Yuhei Umeda, Aditya Gopalan:
Model-Based Best Arm Identification for Decreasing Bandits. AISTATS 2024: 1567-1575 - [c45]Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott:
Testing the Feasibility of Linear Programs with Bandit Feedback. ICML 2024 - [i50]Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott:
Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR abs/2406.15648 (2024) - [i49]Debangshu Banerjee, Aditya Gopalan:
Towards Reliable Alignment: Uncertainty-aware RLHF. CoRR abs/2410.23726 (2024) - 2023
- [j11]Aditya Gopalan, Alexander L. Stolyar
:
Data flow dissemination in a network. Queueing Syst. Theory Appl. 105(3): 317-354 (2023) - [c44]Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan:
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. AISTATS 2023: 8233-8262 - [c43]Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan:
Bregman Deviations of Generic Exponential Families. COLT 2023: 394-449 - [c42]Bishal Jaiswal, Himanshu Tyagi, Aditya Gopalan, Vishal Sevani:
WiROS: A QoS Software Solution for ros2 in a WiFi Network. COMSNETS 2023: 216-218 - [i48]Debangshu Banerjee, Aditya Gopalan:
On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces. CoRR abs/2301.03597 (2023) - [i47]Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.:
A Unified Framework for Discovering Discrete Symmetries. CoRR abs/2309.02898 (2023) - [i46]Debangshu Banerjee, Aditya Gopalan:
When are Bandits Robust to Misspecification? CoRR abs/2310.09358 (2023) - 2022
- [j10]Gayathri R. Prabhu
Sequential Multi-Hypothesis Testing in Multi-Armed Bandit Problems: An Approach for Asymptotic Optimality. IEEE Trans. Inf. Theory 68(7): 4790-4817 (2022) - [c41]Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Actor-Critic based Improper Reinforcement Learning. ICML 2022: 25867-25919 - [c40]Mohammadi Zaki, Avi Mohan, Aditya Gopalan:
Improved Pure Exploration in Linear Bandits with No-Regret Learning. IJCAI 2022: 3709-3715 - [i45]Sayak Ray Chowdhury, Patrick Saux, Odalric-Ambrym Maillard, Aditya Gopalan:
Bregman Deviations of Generic Exponential Families. CoRR abs/2201.07306 (2022) - [i44]Dipayan Sen, Prashanth L. A., Aditya Gopalan:
Adaptive Estimation of Random Vectors with Bandit Feedback. CoRR abs/2203.16810 (2022) - [i43]Aditya Gopalan, Gugan Thoppe:
Approximate Q-learning and SARSA(0) under the ε-greedy Policy: a Differential Inclusion Analysis. CoRR abs/2205.13617 (2022) - [i42]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Actor-Critic based Improper Reinforcement Learning. CoRR abs/2207.09090 (2022) - [i41]Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. CoRR abs/2207.11597 (2022) - 2021
- [c39]Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard:
Reinforcement Learning in Parametric MDPs with Exponential Families. AISTATS 2021: 1855-1863 - [c38]Sayak Ray Chowdhury, Aditya Gopalan:
No-regret Algorithms for Multi-task Bayesian Optimization. AISTATS 2021: 1873-1881 - [c37]G. Dhanaprakaash, Bishal Jaiswal, Srikrishna Acharya, Anush Kumar, Aruul Mozhi Varman S, Kavish Shah, Mohitvishnu Srinivas Gadde, Sourav Mishra, Aditya Gopalan, Bharadwaj Amrutur, Himanshu Tyagi, Preetam Patil, Raghu Krishnapuram, Soumya Subhra Banerjee, Suresh Sundaram:
Network Based Multi-Bot Awareness. COMSNETS 2021: 138-139 - [c36]Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama:
Bandit Quickest Changepoint Detection. NeurIPS 2021: 29064-29073 - [i40]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Improper Learning with Gradient-based Policy Optimization. CoRR abs/2102.08201 (2021) - [i39]Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR abs/2105.00210 (2021) - [i38]Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan:
Bandit Quickest Changepoint Detection. CoRR abs/2107.10492 (2021) - [i37]Aditya Gopalan, Alexander L. Stolyar:
Data Flow Dissemination in a Network. CoRR abs/2110.09648 (2021) - [i36]Ramakrishnan Krishnamurthy, Aditya Gopalan:
On Slowly-varying Non-stationary Bandits. CoRR abs/2110.12916 (2021) - 2020
- [j9]Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath:
Stability and Scalability of Blockchain Systems. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 35:1-35:35 (2020) - [j8]Avinash Mohan
Reduced-State, Optimal Scheduling for Decentralized Medium Access Control of a Class of Wireless Networks. IEEE/ACM Trans. Netw. 28(3): 1017-1032 (2020) - [c35]Siddharth Mitra, Aditya Gopalan:
On Adaptivity in Information-Constrained Online Learning. AAAI 2020: 5199-5206 - [c34]Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan:
Sequential Mode Estimation with Oracle Queries. AAAI 2020: 5644-5651 - [c33]Aadirupa Saha, Aditya Gopalan:
Best-item Learning in Random Utility Models with Subset Choices. AISTATS 2020: 4281-4291 - [c32]Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag
CORNET: A Co-Simulation Middleware for Robot Networks. COMSNETS 2020: 245-251 - [c31]Aadirupa Saha, Aditya Gopalan:
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. ICML 2020: 8367-8376 - [c30]Pratik Sharma, Devam Awasare, Bishal Jaiswal, Srivats Mohan, N. Abinaya, Ishan Darwhekar, Anand SVR, Bharadwaj Amrutur, Aditya Gopalan, Parimal Parag
On the Latency in Vehicular Control using Video Streaming over Wi-Fi. NCC 2020: 1-6 - [c29]Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath:
Stability and Scalability of Blockchain Systems. SIGMETRICS (Abstracts) 2020: 71-72 - [i35]Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath:
Stability and Scalability of Blockchain Systems. CoRR abs/2002.02567 (2020) - [i34]Aadirupa Saha, Aditya Gopalan:
Best-item Learning in Random Utility Models with Subset Choices. CoRR abs/2002.07994 (2020) - [i33]Avinash Mohan, Aditya Gopalan, Anurag Kumar:
Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems. CoRR abs/2002.08141 (2020) - [i32]Aditya Gopalan, Himanshu Tyagi:
How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions? CoRR abs/2004.12782 (2020) - [i31]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan:
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners. CoRR abs/2006.07562 (2020) - [i30]Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan:
Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems: An Approach for Asymptotic Optimality. CoRR abs/2007.12961 (2020) - [i29]Sayak Ray Chowdhury, Aditya Gopalan:
No-regret Algorithms for Multi-task Bayesian Optimization. CoRR abs/2008.08885 (2020) - [i28]Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai:
Stochastic Linear Bandits with Protected Subspace. CoRR abs/2011.01016 (2020)
2010 – 2019
- 2019
- [c28]Sayak Ray Chowdhury, Aditya Gopalan:
Online Learning in Kernelized Markov Decision Processes. AISTATS 2019: 3197-3205 - [c27]Aadirupa Saha, Aditya Gopalan:
Active Ranking with Subset-wise Preferences. AISTATS 2019: 3312-3321 - [c26]Aadirupa Saha, Aditya Gopalan:
PAC Battling Bandits in the Plackett-Luce Model. ALT 2019: 700-737 - [c25]Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan:
Learning to Detect an Anomalous Target with Observations from an Exponential Family. DSW 2019: 88-92 - [c24]Aadirupa Saha, Aditya Gopalan:
Combinatorial Bandits with Relative Feedback. NeurIPS 2019: 983-993 - [c23]Sayak Ray Chowdhury, Aditya Gopalan:
Bayesian Optimization under Heavy-tailed Payoffs. NeurIPS 2019: 13790-13801 - [i27]Aadirupa Saha, Aditya Gopalan:
Regret Minimisation in Multinomial Logit Bandits. CoRR abs/1903.00543 (2019) - [i26]Aadirupa Saha, Aditya Gopalan:
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. CoRR abs/1903.00558 (2019) - [i25]Sayak Ray Chowdhury, Aditya Gopalan:
Bayesian Optimization under Heavy-tailed Payoffs. CoRR abs/1909.07040 (2019) - [i24]Siddharth Mitra, Aditya Gopalan:
On Adaptivity in Information-constrained Online Learning. CoRR abs/1910.08805 (2019) - [i23]Sayak Ray Chowdhury, Aditya Gopalan:
On Batch Bayesian Optimization. CoRR abs/1911.01032 (2019) - [i22]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan:
Towards Optimal and Efficient Best Arm Identification in Linear Bandits. CoRR abs/1911.01695 (2019) - [i21]Sayak Ray Chowdhury, Aditya Gopalan:
On Online Learning in Kernelized Markov Decision Processes. CoRR abs/1911.01871 (2019) - [i20]Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan:
Sequential Mode Estimation with Oracle Queries. CoRR abs/1911.08197 (2019) - 2018
- [j7]Rahul Meshram
On the Whittle Index for Restless Multiarmed Hidden Markov Bandits. IEEE Trans. Autom. Control. 63(9): 3046-3053 (2018) - [j6]Ravi Kumar Kolla
Collaborative Learning of Stochastic Bandits Over a Social Network. IEEE/ACM Trans. Netw. 26(4): 1782-1795 (2018) - [c22]Siddharth Barman, Aditya Gopalan, Aadirupa Saha:
Online Learning for Structured Loss Spaces. AAAI 2018: 2696-2703 - [c21]Avinash Mohan, Aditya Gopalan, Anurag Kumar
Reduced-State, Optimal Medium Access Control for Wireless Data Collection Networks. INFOCOM 2018: 567-575 - [c20]Prakirt Raj Jhunjhunwala, Sharayu Moharir, D. Manjunath, Aditya Gopalan:
On a Class of Restless Multi-armed Bandits with Deterministic Policies. SPCOM 2018: 487-491 - [c19]Aadirupa Saha, Aditya Gopalan:
Battle of Bandits. UAI 2018: 805-814 - [i19]Sayak Ray Chowdhury, Aditya Gopalan:
Online Learning in Kernelized Markov Decision Processes. CoRR abs/1805.08052 (2018) - [i18]Aditya Gopalan, Aadirupa Saha:
PAC-Battling Bandits with Plackett-Luce: Tradeoff between Sample Complexity and Subset Size. CoRR abs/1808.04008 (2018) - [i17]Aadirupa Saha, Aditya Gopalan:
Active Ranking with Subset-wise Preferences. CoRR abs/1810.10321 (2018) - 2017
- [c18]Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus:
Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. AAAI 2017: 1941-1947 - [c17]Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan:
Misspecified Linear Bandits. AAAI 2017: 3761-3767 - [c16]Rahul Meshram, Aditya Gopalan, D. Manjunath:
Restless bandits that hide their hand and recommendation systems. COMSNETS 2017: 206-213 - [c15]Rahul Meshram, Aditya Gopalan, D. Manjunath:
A Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems. COMSNETS (Revised Selected Papers and Invited Papers) 2017: 335-362 - [c14]Sayak Ray Chowdhury, Aditya Gopalan:
On Kernelized Multi-armed Bandits. ICML 2017: 844-853 - [c13]Parth Thaker
When to arrive in a congested system: Achieving equilibrium via learning algorithm. WiOpt 2017: 1-8 - [e1]Sharayu Moharir, Aditya Gopalan:
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Chennai, India, July 10-14, 2017. ACM 2017, ISBN 978-1-4503-4912-3 [contents] - [i16]Sayak Ray Chowdhury, Aditya Gopalan:
On Kernelized Multi-armed Bandits. CoRR abs/1704.00445 (2017) - [i15]Rahul Meshram, Aditya Gopalan, D. Manjunath:
A Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems. CoRR abs/1704.02894 (2017) - [i14]Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan:
Misspecified Linear Bandits. CoRR abs/1704.06880 (2017) - [i13]Siddharth Barman, Aditya Gopalan, Aadirupa Saha:
Online Learning for Structured Loss Spaces. CoRR abs/1706.04125 (2017) - [i12]Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan:
Optimal Odd Arm Identification with Fixed Confidence. CoRR abs/1712.03682 (2017) - 2016
- [c12]Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan:
Randomised Procedures for Initialising and Switching Actions in Policy Iteration. AAAI 2016: 3145-3151 - [c11]Ravi Kumar Kolla, Krishna P. Jagannathan
Collaborative learning of stochastic bandits over a social network. Allerton 2016: 1228-1235 - [c10]Rahul Meshram, Aditya Gopalan, D. Manjunath:
Optimal recommendation to users that react: Online learning for a class of POMDPs. CDC 2016: 7210-7215 - [c9]Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein:
Optimizing distributed actor systems for dynamic interactive services. EuroSys 2016: 38:1-38:15 - [i11]Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan:
Stochastic bandits on a social network: Collaborative learning with local information sharing. CoRR abs/1602.08886 (2016) - [i10]Rahul Meshram, D. Manjunath, Aditya Gopalan:
On the Whittle Index for Restless Multi-armed Hidden Markov Bandits. CoRR abs/1603.04739 (2016) - [i9]Rahul Meshram, Aditya Gopalan, D. Manjunath:
Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs. CoRR abs/1603.09233 (2016) - [i8]Aditya Gopalan, Odalric-Ambrym Maillard, Mohammadi Zaki:
Low-rank Bandits with Latent Mixtures. CoRR abs/1609.01508 (2016) - [i7]Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus:
Weighted bandits or: How bandits learn distorted values that are not expected. CoRR abs/1611.10283 (2016) - 2015
- [j5]Aditya Gopalan, Constantine Caramanis
Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. 80(4): 293-340 (2015) - [c8]Rahul Meshram, D. Manjunath, Aditya Gopalan:
A restless bandit with no observable states for recommendation systems and communication link scheduling. CDC 2015: 7820-7825 - [c7]Aditya Gopalan, Shie Mannor:
Thompson Sampling for Learning Parameterized Markov Decision Processes. COLT 2015: 861-898 - [c6]Abhinav Kumar, Sibi Raj B. Pillai, Rahul Vaze, Aditya Gopalan:
Optimal WiFi sensing via dynamic programming. WiOpt 2015: 54-61 - 2014
- [j4]Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
Epidemic Spreading With External Agents. IEEE Trans. Inf. Theory 60(7): 4125-4138 (2014) - [c5]Aditya Gopalan, Shie Mannor, Yishay Mansour:
Thompson Sampling for Complex Online Problems. ICML 2014: 100-108 - [i6]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR abs/1405.6307 (2014) - [i5]Aditya Gopalan, Shie Mannor:
Thompson Sampling for Learning Parameterized MDPs. CoRR abs/1406.7498 (2014) - [i4]Abhinav Kumar, Rahul Vaze, Sibi Raj B. Pillai, Aditya Gopalan:
Optimal WiFi Sensing via Dynamic Programming. CoRR abs/1410.7528 (2014) - 2013
- [j3]Aditya Gopalan, Constantine Caramanis
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. 58(6): 1443-1456 (2013) - [i3]Aditya Gopalan, Shie Mannor, Yishay Mansour:
Thompson Sampling for Complex Bandit Problems. CoRR abs/1311.0466 (2013) - [i2]Aditya Gopalan:
Thompson Sampling for Online Learning with Linear Experts. CoRR abs/1311.0468 (2013) - 2012
- [j2]Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
On distributed scheduling with heterogeneously delayed network-state information. Queueing Syst. Theory Appl. 72(3-4): 193-218 (2012) - [j1]Aditya Gopalan, Constantine Caramanis
On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory 58(1): 403-420 (2012) - [c4]Aditya Gopalan, Constantine Caramanis
Low-delay wireless scheduling with partial channel-state information. INFOCOM 2012: 1071-1079 - [i1]Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai:
Epidemic Spreading with External Agents. CoRR abs/1206.3599 (2012) - 2011
- [c3]Ioannis Mitliagkas, Aditya Gopalan, Constantine Caramanis
User rankings from comparisons: Learning permutations in high dimensions. Allerton 2011: 1143-1150 - [c2]Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, Sanjay Shakkottai:
Random mobility and the spread of infection. INFOCOM 2011: 999-1007 - 2010
- [c1]Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
Wireless scheduling with heterogeneously delayed network-state information. Allerton 2010: 1577-1584
Coauthor Index
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