Aditya Gopalan

According to our database, Aditya Gopalan authored at least 77 papers between 2010 and 2023.

Collaborative distances:

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

2023

Data flow dissemination in a network.

Aditya Gopalan, Alexander L. Stolyar

Queueing Syst. Theory Appl., December, 2023

When are Bandits Robust to Misspecification?

Debangshu Banerjee, Aditya Gopalan

CoRR, 2023

A Unified Framework for Discovering Discrete Symmetries.

Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.

CoRR, 2023

On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces.

Debangshu Banerjee, Aditya Gopalan

CoRR, 2023

WiROS: A QoS Software Solution for ros2 in a WiFi Network.

Bishal Jaiswal, Himanshu Tyagi, Aditya Gopalan, Vishal Sevani

Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

Bregman Deviations of Generic Exponential Families.

Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference.

Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Sequential Multi-Hypothesis Testing in Multi-Armed Bandit Problems: An Approach for Asymptotic Optimality.

Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan

IEEE Trans. Inf. Theory, 2022

Actor-Critic based Improper Reinforcement Learning.

Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor

CoRR, 2022

Approximate Q-learning and SARSA(0) under the ε-greedy Policy: a Differential Inclusion Analysis.

Aditya Gopalan, Gugan Thoppe

CoRR, 2022

Adaptive Estimation of Random Vectors with Bandit Feedback.

Dipayan Sen, Prashanth L. A., Aditya Gopalan

CoRR, 2022

Improved Pure Exploration in Linear Bandits with No-Regret Learning.

Mohammadi Zaki, Avi Mohan, Aditya Gopalan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Actor-Critic based Improper Reinforcement Learning.

Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2022

2021

On Slowly-varying Non-stationary Bandits.

Ramakrishnan Krishnamurthy, Aditya Gopalan

CoRR, 2021

Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling.

Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor

CoRR, 2021

Improper Learning with Gradient-based Policy Optimization.

Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor

CoRR, 2021

Bandit Quickest Changepoint Detection.

Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama

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

Network Based Multi-Bot Awareness.

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

Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

Reinforcement Learning in Parametric MDPs with Exponential Families.

Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

No-regret Algorithms for Multi-task Bayesian Optimization.

Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Reduced-State, Optimal Scheduling for Decentralized Medium Access Control of a Class of Wireless Networks.

Avinash Mohan, Aditya Gopalan, Anurag Kumar

IEEE/ACM Trans. Netw., 2020

Stability and Scalability of Blockchain Systems.

Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath

Proc. ACM Meas. Anal. Comput. Syst., 2020

Stochastic Linear Bandits with Protected Subspace.

Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai

CoRR, 2020

Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners.

Mohammadi Zaki, Avinash Mohan, Aditya Gopalan

CoRR, 2020

How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?

Aditya Gopalan, Himanshu Tyagi

CoRR, 2020

Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems.

Avinash Mohan, Aditya Gopalan, Anurag Kumar

CoRR, 2020

On the Latency in Vehicular Control using Video Streaming over Wi-Fi.

Pratik Sharma, Devam Awasare, Bishal Jaiswal, Srivats Mohan, N. Abinaya, Ishan Darwhekar, Anand SVR, Bharadwaj Amrutur, Aditya Gopalan, Parimal Parag, Himanshu Tyagi

Proceedings of the 2020 National Conference on Communications, 2020

From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model.

Aadirupa Saha, Aditya Gopalan

Proceedings of the 37th International Conference on Machine Learning, 2020

CORNET: A Co-Simulation Middleware for Robot Networks.

Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

Best-item Learning in Random Utility Models with Subset Choices.

Aadirupa Saha, Aditya Gopalan

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Sequential Mode Estimation with Oracle Queries.

Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

On Adaptivity in Information-Constrained Online Learning.

Siddharth Mitra, Aditya Gopalan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards Optimal and Efficient Best Arm Identification in Linear Bandits.

Mohammadi Zaki, Avinash Mohan, Aditya Gopalan

CoRR, 2019

On Batch Bayesian Optimization.

Sayak Ray Chowdhury, Aditya Gopalan

CoRR, 2019

Regret Minimisation in Multinomial Logit Bandits.

Aadirupa Saha, Aditya Gopalan

CoRR, 2019

Combinatorial Bandits with Relative Feedback.

Aadirupa Saha, Aditya Gopalan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Optimization under Heavy-tailed Payoffs.

Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Detect an Anomalous Target with Observations from an Exponential Family.

Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan

Proceedings of the IEEE Data Science Workshop, 2019

PAC Battling Bandits in the Plackett-Luce Model.

Aadirupa Saha, Aditya Gopalan

Proceedings of the Algorithmic Learning Theory, 2019

Active Ranking with Subset-wise Preferences.

Aadirupa Saha, Aditya Gopalan

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Online Learning in Kernelized Markov Decision Processes.

Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Collaborative Learning of Stochastic Bandits Over a Social Network.

Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan

IEEE/ACM Trans. Netw., 2018

On the Whittle Index for Restless Multiarmed Hidden Markov Bandits.

Rahul Meshram, D. Manjunath, Aditya Gopalan

IEEE Trans. Autom. Control., 2018

PAC-Battling Bandits with Plackett-Luce: Tradeoff between Sample Complexity and Subset Size.

Aditya Gopalan, Aadirupa Saha

CoRR, 2018

Battle of Bandits.

Aadirupa Saha, Aditya Gopalan

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

On a Class of Restless Multi-armed Bandits with Deterministic Policies.

Prakirt Raj Jhunjhunwala, Sharayu Moharir, D. Manjunath, Aditya Gopalan

Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

Reduced-State, Optimal Medium Access Control for Wireless Data Collection Networks.

Avinash Mohan, Aditya Gopalan, Anurag Kumar

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Online Learning for Structured Loss Spaces.

Siddharth Barman, Aditya Gopalan, Aadirupa Saha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Optimal Odd Arm Identification with Fixed Confidence.

Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan

CoRR, 2017

When to arrive in a congested system: Achieving equilibrium via learning algorithm.

Parth Thaker, Aditya Gopalan, Rahul Vaze

Proceedings of the 15th International Symposium on Modeling and Optimization in Mobile, 2017

On Kernelized Multi-armed Bandits.

Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the 34th International Conference on Machine Learning, 2017

A Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems.

Rahul Meshram, Aditya Gopalan, D. Manjunath

Proceedings of the Communication Systems and Networks - 9th International Conference, 2017

Restless bandits that hide their hand and recommendation systems.

Rahul Meshram, Aditya Gopalan, D. Manjunath

Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected.

Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Misspecified Linear Bandits.

Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

On the Whittle Index for Restless Multi-armed Hidden Markov Bandits.

Rahul Meshram, D. Manjunath, Aditya Gopalan

CoRR, 2016

Stochastic bandits on a social network: Collaborative learning with local information sharing.

Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan

CoRR, 2016

Low-rank Bandits with Latent Mixtures.

Aditya Gopalan, Odalric-Ambrym Maillard, Mohammadi Zaki

CoRR, 2016

Optimizing distributed actor systems for dynamic interactive services.

Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein

Proceedings of the Eleventh European Conference on Computer Systems, 2016

Optimal recommendation to users that react: Online learning for a class of POMDPs.

Rahul Meshram, Aditya Gopalan, D. Manjunath

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Randomised Procedures for Initialising and Switching Actions in Policy Iteration.

Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Wireless scheduling with partial channel state information: large deviations and optimality.

Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai

Queueing Syst. Theory Appl., 2015

Optimal WiFi sensing via dynamic programming.

Abhinav Kumar, Sibi Raj B. Pillai, Rahul Vaze, Aditya Gopalan

Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015

Thompson Sampling for Learning Parameterized Markov Decision Processes.

Aditya Gopalan, Shie Mannor

Proceedings of The 28th Conference on Learning Theory, 2015

A restless bandit with no observable states for recommendation systems and communication link scheduling.

Rahul Meshram, D. Manjunath, Aditya Gopalan

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Epidemic Spreading With External Agents.

Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai

IEEE Trans. Inf. Theory, 2014

Thompson Sampling for Learning Parameterized MDPs.

Aditya Gopalan, Shie Mannor

CoRR, 2014

Thompson Sampling for Complex Online Problems.

Aditya Gopalan, Shie Mannor, Yishay Mansour

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling.

Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai

IEEE Trans. Autom. Control., 2013

Thompson Sampling for Complex Bandit Problems.

Aditya Gopalan, Shie Mannor, Yishay Mansour

CoRR, 2013

Thompson Sampling for Online Learning with Linear Experts.

Aditya Gopalan

CoRR, 2013

2012

On Wireless Scheduling With Partial Channel-State Information.

Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai

IEEE Trans. Inf. Theory, 2012

On distributed scheduling with heterogeneously delayed network-state information.

Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying

Queueing Syst. Theory Appl., 2012

Low-delay wireless scheduling with partial channel-state information.

Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011

Random mobility and the spread of infection.

Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, Sanjay Shakkottai

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

User rankings from comparisons: Learning permutations in high dimensions.

Ioannis Mitliagkas, Aditya Gopalan, Constantine Caramanis, Sriram Vishwanath

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Wireless scheduling with heterogeneously delayed network-state information.

Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying

Proceedings of the 48th Annual Allerton Conference on Communication, 2010