Aditya Gopalan

115 papers A* 21A 10B 4Misc 4Journal 66Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Does DQN Learn? IEEE Trans. Autom. Control. Aditya Gopalan, Gugan Thoppe
2025	A*	`conf`	Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms. ICML Sho Takemori, Yuhei Umeda, Aditya Gopalan
2025	J	`jnl`	Reliable Critics: Monotonic Improvement and Convergence Guarantees for Reinforcement Learning. CoRR Eshwar S. R, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2025	J	`jnl`	Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations. CoRR S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha, Krishna Agarwal, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2025	J	`jnl`	Towards Reliable, Uncertainty-Aware Alignment. CoRR Debangshu Banerjee, Kintan Saha, Aditya Gopalan
2025	J	`jnl`	Why DPO is a Misspecified Estimator and How to Fix It. CoRR Aditya Gopalan, Sayak Ray Chowdhury, Debangshu Banerjee
2024	A	`conf`	A Unified Framework for Discovering Discrete Symmetries. AISTATS Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh
2024	A	`conf`	Model-Based Best Arm Identification for Decreasing Bandits. AISTATS Sho Takemori, Yuhei Umeda, Aditya Gopalan
2024	A*	`conf`	Testing the Feasibility of Linear Programs with Bandit Feedback. ICML Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
2024	J	`jnl`	Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
2024	J	`jnl`	Towards Reliable Alignment: Uncertainty-aware RLHF. CoRR Debangshu Banerjee, Aditya Gopalan
2023	J	`jnl`	A Unified Framework for Discovering Discrete Symmetries. CoRR Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.
2023	A*	`conf`	Bregman Deviations of Generic Exponential Families. COLT Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan
2023	J	`jnl`	Data flow dissemination in a network. Queueing Syst. Theory Appl. Aditya Gopalan, Alexander L. Stolyar
2023	A	`conf`	Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. AISTATS Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2023	J	`jnl`	On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces. CoRR Debangshu Banerjee, Aditya Gopalan
2023	J	`jnl`	When are Bandits Robust to Misspecification? CoRR Debangshu Banerjee, Aditya Gopalan
2023	Misc	`conf`	WiROS: A QoS Software Solution for ros2 in a WiFi Network. COMSNETS Bishal Jaiswal, Himanshu Tyagi, Aditya Gopalan, Vishal Sevani
2022	A*	`conf`	Actor-Critic based Improper Reinforcement Learning. ICML Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
2022	J	`jnl`	Actor-Critic based Improper Reinforcement Learning. CoRR Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
2022	J	`jnl`	Adaptive Estimation of Random Vectors with Bandit Feedback. CoRR Dipayan Sen, Prashanth L. A., Aditya Gopalan
2022	J	`jnl`	Approximate Q-learning and SARSA(0) under the ε-greedy Policy: a Differential Inclusion Analysis. CoRR Aditya Gopalan, Gugan Thoppe
2022	J	`jnl`	Bregman Deviations of Generic Exponential Families. CoRR Sayak Ray Chowdhury, Patrick Saux, Odalric-Ambrym Maillard, Aditya Gopalan
2022	J	`jnl`	Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. CoRR Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2022	A*	`conf`	Improved Pure Exploration in Linear Bandits with No-Regret Learning. IJCAI Mohammadi Zaki, Avi Mohan, Aditya Gopalan
2022	J	`jnl`	Sequential Multi-Hypothesis Testing in Multi-Armed Bandit Problems: An Approach for Asymptotic Optimality. IEEE Trans. Inf. Theory Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
2021	A*	`conf`	Bandit Quickest Changepoint Detection. NeurIPS Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama
2021	J	`jnl`	Bandit Quickest Changepoint Detection. CoRR Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
2021	J	`jnl`	Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
2021	J	`jnl`	Data Flow Dissemination in a Network. CoRR Aditya Gopalan, Alexander L. Stolyar
2021	J	`jnl`	Improper Learning with Gradient-based Policy Optimization. CoRR Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
2021	Misc	`conf`	Network Based Multi-Bot Awareness. COMSNETS 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
2021	A	`conf`	No-regret Algorithms for Multi-task Bayesian Optimization. AISTATS Sayak Ray Chowdhury, Aditya Gopalan
2021	J	`jnl`	On Slowly-varying Non-stationary Bandits. CoRR Ramakrishnan Krishnamurthy, Aditya Gopalan
2021	A	`conf`	Reinforcement Learning in Parametric MDPs with Exponential Families. AISTATS Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard
2020	A	`conf`	Best-item Learning in Random Utility Models with Subset Choices. AISTATS Aadirupa Saha, Aditya Gopalan
2020	J	`jnl`	Best-item Learning in Random Utility Models with Subset Choices. CoRR Aadirupa Saha, Aditya Gopalan
2020	Misc	`conf`	CORNET: A Co-Simulation Middleware for Robot Networks. COMSNETS Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi
2020	J	`jnl`	Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners. CoRR Mohammadi Zaki, Avinash Mohan, Aditya Gopalan
2020	A*	`conf`	From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. ICML Aadirupa Saha, Aditya Gopalan
2020	J	`jnl`	How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions? CoRR Aditya Gopalan, Himanshu Tyagi
2020	J	`jnl`	No-regret Algorithms for Multi-task Bayesian Optimization. CoRR Sayak Ray Chowdhury, Aditya Gopalan
2020	A*	`conf`	On Adaptivity in Information-Constrained Online Learning. AAAI Siddharth Mitra, Aditya Gopalan
2020	—	`conf`	On the Latency in Vehicular Control using Video Streaming over Wi-Fi. NCC Pratik Sharma, Devam Awasare, Bishal Jaiswal, Srivats Mohan, N. Abinaya, Ishan Darwhekar, Anand SVR, Bharadwaj Amrutur, Aditya Gopalan, Parimal Parag, Himanshu Tyagi
2020	J	`jnl`	Reduced-State, Optimal Scheduling for Decentralized Medium Access Control of a Class of Wireless Networks. IEEE/ACM Trans. Netw. Avinash Mohan, Aditya Gopalan, Anurag Kumar
2020	A*	`conf`	Sequential Mode Estimation with Oracle Queries. AAAI Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan
2020	J	`jnl`	Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems: An Approach for Asymptotic Optimality. CoRR Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
2020	—	`conf`	Stability and Scalability of Blockchain Systems. SIGMETRICS (Abstracts) Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
2020	J	`jnl`	Stability and Scalability of Blockchain Systems. CoRR Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
2020	J	`jnl`	Stability and Scalability of Blockchain Systems. Proc. ACM Meas. Anal. Comput. Syst. Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
2020	J	`jnl`	Stochastic Linear Bandits with Protected Subspace. CoRR Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai
2020	J	`jnl`	Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems. CoRR Avinash Mohan, Aditya Gopalan, Anurag Kumar
2019	A	`conf`	Active Ranking with Subset-wise Preferences. AISTATS Aadirupa Saha, Aditya Gopalan
2019	A*	`conf`	Bayesian Optimization under Heavy-tailed Payoffs. NeurIPS Sayak Ray Chowdhury, Aditya Gopalan
2019	J	`jnl`	Bayesian Optimization under Heavy-tailed Payoffs. CoRR Sayak Ray Chowdhury, Aditya Gopalan
2019	A*	`conf`	Combinatorial Bandits with Relative Feedback. NeurIPS Aadirupa Saha, Aditya Gopalan
2019	J	`jnl`	From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. CoRR Aadirupa Saha, Aditya Gopalan
2019	—	`conf`	Learning to Detect an Anomalous Target with Observations from an Exponential Family. DSW Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
2019	J	`jnl`	On Adaptivity in Information-constrained Online Learning. CoRR Siddharth Mitra, Aditya Gopalan
2019	J	`jnl`	On Batch Bayesian Optimization. CoRR Sayak Ray Chowdhury, Aditya Gopalan
2019	J	`jnl`	On Online Learning in Kernelized Markov Decision Processes. CoRR Sayak Ray Chowdhury, Aditya Gopalan
2019	A	`conf`	Online Learning in Kernelized Markov Decision Processes. AISTATS Sayak Ray Chowdhury, Aditya Gopalan
2019	B	`conf`	PAC Battling Bandits in the Plackett-Luce Model. ALT Aadirupa Saha, Aditya Gopalan
2019	J	`jnl`	Regret Minimisation in Multinomial Logit Bandits. CoRR Aadirupa Saha, Aditya Gopalan
2019	J	`jnl`	Sequential Mode Estimation with Oracle Queries. CoRR Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan
2019	J	`jnl`	Towards Optimal and Efficient Best Arm Identification in Linear Bandits. CoRR Mohammadi Zaki, Avinash Mohan, Aditya Gopalan
2018	J	`jnl`	Active Ranking with Subset-wise Preferences. CoRR Aadirupa Saha, Aditya Gopalan
2018	A	`conf`	Battle of Bandits. UAI Aadirupa Saha, Aditya Gopalan
2018	J	`jnl`	Collaborative Learning of Stochastic Bandits Over a Social Network. IEEE/ACM Trans. Netw. Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan
2018	—	`conf`	On a Class of Restless Multi-armed Bandits with Deterministic Policies. SPCOM Prakirt Raj Jhunjhunwala, Sharayu Moharir, D. Manjunath, Aditya Gopalan
2018	J	`jnl`	On the Whittle Index for Restless Multiarmed Hidden Markov Bandits. IEEE Trans. Autom. Control. Rahul Meshram, D. Manjunath, Aditya Gopalan
2018	A*	`conf`	Online Learning for Structured Loss Spaces. AAAI Siddharth Barman, Aditya Gopalan, Aadirupa Saha
2018	J	`jnl`	Online Learning in Kernelized Markov Decision Processes. CoRR Sayak Ray Chowdhury, Aditya Gopalan
2018	J	`jnl`	PAC-Battling Bandits with Plackett-Luce: Tradeoff between Sample Complexity and Subset Size. CoRR Aditya Gopalan, Aadirupa Saha
2018	A*	`conf`	Reduced-State, Optimal Medium Access Control for Wireless Data Collection Networks. INFOCOM Avinash Mohan, Aditya Gopalan, Anurag Kumar
2017	—	`conf`	A Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems. COMSNETS (Revised Selected Papers and Invited Papers) Rahul Meshram, Aditya Gopalan, D. Manjunath
2017	J	`jnl`	A Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems. CoRR Rahul Meshram, Aditya Gopalan, D. Manjunath
2017	A*	`conf`	Misspecified Linear Bandits. AAAI Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2017	J	`jnl`	Misspecified Linear Bandits. CoRR Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2017	A*	`conf`	On Kernelized Multi-armed Bandits. ICML Sayak Ray Chowdhury, Aditya Gopalan
2017	J	`jnl`	On Kernelized Multi-armed Bandits. CoRR Sayak Ray Chowdhury, Aditya Gopalan
2017	J	`jnl`	Online Learning for Structured Loss Spaces. CoRR Siddharth Barman, Aditya Gopalan, Aadirupa Saha
2017	J	`jnl`	Optimal Odd Arm Identification with Fixed Confidence. CoRR Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
2017	B	`ed.`	Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Chennai, India, July 10-14, 2017 MobiHoc Sharayu Moharir, Aditya Gopalan
2017	Misc	`conf`	Restless bandits that hide their hand and recommendation systems. COMSNETS Rahul Meshram, Aditya Gopalan, D. Manjunath
2017	A*	`conf`	Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. AAAI Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus
2017	B	`conf`	When to arrive in a congested system: Achieving equilibrium via learning algorithm. WiOpt Parth Thaker, Aditya Gopalan, Rahul Vaze
2016	—	`conf`	Collaborative learning of stochastic bandits over a social network. Allerton Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan
2016	J	`jnl`	Low-rank Bandits with Latent Mixtures. CoRR Aditya Gopalan, Odalric-Ambrym Maillard, Mohammadi Zaki
2016	J	`jnl`	On the Whittle Index for Restless Multi-armed Hidden Markov Bandits. CoRR Rahul Meshram, D. Manjunath, Aditya Gopalan
2016	J	`jnl`	Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs. CoRR Rahul Meshram, Aditya Gopalan, D. Manjunath
2016	—	`conf`	Optimal recommendation to users that react: Online learning for a class of POMDPs. CDC Rahul Meshram, Aditya Gopalan, D. Manjunath
2016	A	`conf`	Optimizing distributed actor systems for dynamic interactive services. EuroSys Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein
2016	A*	`conf`	Randomised Procedures for Initialising and Switching Actions in Policy Iteration. AAAI Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan
2016	J	`jnl`	Stochastic bandits on a social network: Collaborative learning with local information sharing. CoRR Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan
2016	J	`jnl`	Weighted bandits or: How bandits learn distorted values that are not expected. CoRR Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus
2015	—	`conf`	A restless bandit with no observable states for recommendation systems and communication link scheduling. CDC Rahul Meshram, D. Manjunath, Aditya Gopalan
2015	B	`conf`	Optimal WiFi sensing via dynamic programming. WiOpt Abhinav Kumar, Sibi Raj B. Pillai, Rahul Vaze, Aditya Gopalan
2015	A*	`conf`	Thompson Sampling for Learning Parameterized Markov Decision Processes. COLT Aditya Gopalan, Shie Mannor
2015	J	`jnl`	Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2014	J	`jnl`	Epidemic Spreading With External Agents. IEEE Trans. Inf. Theory Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
2014	J	`jnl`	Optimal WiFi Sensing via Dynamic Programming. CoRR Abhinav Kumar, Rahul Vaze, Sibi Raj B. Pillai, Aditya Gopalan
2014	A*	`conf`	Thompson Sampling for Complex Online Problems. ICML Aditya Gopalan, Shie Mannor, Yishay Mansour
2014	J	`jnl`	Thompson Sampling for Learning Parameterized MDPs. CoRR Aditya Gopalan, Shie Mannor
2014	J	`jnl`	Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2013	J	`jnl`	On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2013	J	`jnl`	Thompson Sampling for Complex Bandit Problems. CoRR Aditya Gopalan, Shie Mannor, Yishay Mansour
2013	J	`jnl`	Thompson Sampling for Online Learning with Linear Experts. CoRR Aditya Gopalan
2012	J	`jnl`	Epidemic Spreading with External Agents CoRR Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
2012	A*	`conf`	Low-delay wireless scheduling with partial channel-state information. INFOCOM Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2012	J	`jnl`	On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
2012	J	`jnl`	On distributed scheduling with heterogeneously delayed network-state information. Queueing Syst. Theory Appl. Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
2011	A*	`conf`	Random mobility and the spread of infection. INFOCOM Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, Sanjay Shakkottai
2011	—	`conf`	User rankings from comparisons: Learning permutations in high dimensions. Allerton Ioannis Mitliagkas, Aditya Gopalan, Constantine Caramanis, Sriram Vishwanath
2010	—	`conf`	Wireless scheduling with heterogeneously delayed network-state information. Allerton Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying