Aditya Gopalan

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 92

Top Venues

Publications

Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh
A Unified Framework for Discovering Discrete Symmetries. AISTATS (2024)
Sho Takemori, Yuhei Umeda, Aditya Gopalan
Model-Based Best Arm Identification for Decreasing Bandits. AISTATS (2024)
Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR (2024)
Debangshu Banerjee, Aditya Gopalan
On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces. CoRR (2023)
Bishal Jaiswal, Himanshu Tyagi, Aditya Gopalan, Vishal Sevani
WiROS: A QoS Software Solution for ros2 in a WiFi Network. COMSNETS (2023)
Debangshu Banerjee, Aditya Gopalan
When are Bandits Robust to Misspecification? CoRR (2023)
Aditya Gopalan, Alexander L. Stolyar
Data flow dissemination in a network. Queueing Syst. Theory Appl. 105 (3) (2023)
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. AISTATS (2023)
Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.
A Unified Framework for Discovering Discrete Symmetries. CoRR (2023)
Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan
Bregman Deviations of Generic Exponential Families. COLT (2023)
Dipayan Sen, Prashanth L. A., Aditya Gopalan
Adaptive Estimation of Random Vectors with Bandit Feedback. CoRR (2022)
Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
Actor-Critic based Improper Reinforcement Learning. ICML (2022)
Aditya Gopalan, Gugan Thoppe
Approximate Q-learning and SARSA(0) under the ε-greedy Policy: a Differential Inclusion Analysis. CoRR (2022)
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. CoRR (2022)
Sayak Ray Chowdhury, Patrick Saux, Odalric-Ambrym Maillard, Aditya Gopalan
Bregman Deviations of Generic Exponential Families. CoRR (2022)
Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
Sequential Multi-Hypothesis Testing in Multi-Armed Bandit Problems: An Approach for Asymptotic Optimality. IEEE Trans. Inf. Theory 68 (7) (2022)
Mohammadi Zaki, Avi Mohan, Aditya Gopalan
Improved Pure Exploration in Linear Bandits with No-Regret Learning. IJCAI (2022)
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
Actor-Critic based Improper Reinforcement Learning. CoRR (2022)
Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard
Reinforcement Learning in Parametric MDPs with Exponential Families. AISTATS (2021)
Sayak Ray Chowdhury, Aditya Gopalan
No-regret Algorithms for Multi-task Bayesian Optimization. AISTATS (2021)
Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR (2021)
Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama
Bandit Quickest Changepoint Detection. NeurIPS (2021)
Aditya Gopalan, Alexander Stolyar
Data Flow Dissemination in a Network. CoRR (2021)
Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
Bandit Quickest Changepoint Detection. CoRR (2021)
Ramakrishnan Krishnamurthy, Aditya Gopalan
On Slowly-varying Non-stationary Bandits. CoRR (2021)
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)
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
Improper Learning with Gradient-based Policy Optimization. CoRR (2021)
Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems: An Approach for Asymptotic Optimality. CoRR (2020)
Aadirupa Saha, Aditya Gopalan
Best-item Learning in Random Utility Models with Subset Choices. CoRR (2020)
Aditya Gopalan, Himanshu Tyagi
How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions? CoRR (2020)
Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan
Sequential Mode Estimation with Oracle Queries. AAAI (2020)
Pratik Sharma, Devam Awasare, Bishal Jaiswal, Srivats Mohan, N. Abinaya, Ishan Darwhekar, Anand SVR, Bharadwaj Amrutur, Aditya Gopalan, Parimal Parag, Himanshu Tyagi
On the Latency in Vehicular Control using Video Streaming over Wi-Fi. NCC (2020)
Siddharth Mitra, Aditya Gopalan
On Adaptivity in Information-Constrained Online Learning. AAAI (2020)
Avinash Mohan, Aditya Gopalan, Anurag Kumar
Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems. CoRR (2020)
Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai
Stochastic Linear Bandits with Protected Subspace. CoRR (2020)
Aadirupa Saha, Aditya Gopalan
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. ICML (2020)
Avinash Mohan, Aditya Gopalan, Anurag Kumar
Reduced-State, Optimal Scheduling for Decentralized Medium Access Control of a Class of Wireless Networks. IEEE/ACM Trans. Netw. 28 (3) (2020)
Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
Stability and Scalability of Blockchain Systems. Proc. ACM Meas. Anal. Comput. Syst. 4 (2) (2020)
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners. CoRR (2020)
Aadirupa Saha, Aditya Gopalan
Regret Minimization in Stochastic Contextual Dueling Bandits. CoRR (2020)
Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
Stability and Scalability of Blockchain Systems. CoRR (2020)
Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi
CORNET: A Co-Simulation Middleware for Robot Networks. COMSNETS (2020)
Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
Stability and Scalability of Blockchain Systems. SIGMETRICS (Abstracts) (2020)
Aadirupa Saha, Aditya Gopalan
Best-item Learning in Random Utility Models with Subset Choices. AISTATS (2020)
Sayak Ray Chowdhury, Aditya Gopalan
No-regret Algorithms for Multi-task Bayesian Optimization. CoRR (2020)
Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan
Sequential Mode Estimation with Oracle Queries. CoRR (2019)
Aadirupa Saha, Aditya Gopalan
PAC Battling Bandits in the Plackett-Luce Model. ALT (2019)
Sayak Ray Chowdhury, Aditya Gopalan
On Online Learning in Kernelized Markov Decision Processes. CoRR (2019)
Sayak Ray Chowdhury, Aditya Gopalan
On Batch Bayesian Optimization. CoRR (2019)
Aadirupa Saha, Aditya Gopalan
Regret Minimisation in Multinomial Logit Bandits. CoRR (2019)
Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
Learning to Detect an Anomalous Target with Observations from an Exponential Family. DSW (2019)
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan
Towards Optimal and Efficient Best Arm Identification in Linear Bandits. CoRR (2019)
Aadirupa Saha, Aditya Gopalan
Active Ranking with Subset-wise Preferences. AISTATS (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Online Learning in Kernelized Markov Decision Processes. AISTATS (2019)
Aadirupa Saha, Aditya Gopalan
Combinatorial Bandits with Relative Feedback. NeurIPS (2019)
Siddharth Mitra, Aditya Gopalan
On Adaptivity in Information-constrained Online Learning. CoRR (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Bayesian Optimization under Heavy-tailed Payoffs. CoRR (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Bayesian Optimization under Heavy-tailed Payoffs. NeurIPS (2019)
Aadirupa Saha, Aditya Gopalan
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. CoRR (2019)
Aadirupa Saha, Aditya Gopalan
Battle of Bandits. UAI (2018)
Siddharth Barman, Aditya Gopalan, Aadirupa Saha
Online Learning for Structured Loss Spaces. AAAI (2018)
Aditya Gopalan, Aadirupa Saha
PAC-Battling Bandits with Plackett-Luce: Tradeoff between Sample Complexity and Subset Size. CoRR (2018)
Prakirt Raj Jhunjhunwala, Sharayu Moharir, D. Manjunath, Aditya Gopalan
On a Class of Restless Multi-armed Bandits with Deterministic Policies. SPCOM (2018)
Aadirupa Saha, Aditya Gopalan
Active Ranking with Subset-wise Preferences. CoRR (2018)
Rahul Meshram, D. Manjunath, Aditya Gopalan
On the Whittle Index for Restless Multiarmed Hidden Markov Bandits. IEEE Trans. Autom. Control. 63 (9) (2018)
Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan
Collaborative Learning of Stochastic Bandits Over a Social Network. IEEE/ACM Trans. Netw. 26 (4) (2018)
Avinash Mohan, Aditya Gopalan, Anurag Kumar
Reduced-State, Optimal Medium Access Control for Wireless Data Collection Networks. INFOCOM (2018)
Sayak Ray Chowdhury, Aditya Gopalan
Online Learning in Kernelized Markov Decision Processes. CoRR (2018)
Rahul Meshram, Aditya Gopalan, D. Manjunath
Restless bandits that hide their hand and recommendation systems. COMSNETS (2017)
Sayak Ray Chowdhury, Aditya Gopalan
On Kernelized Multi-armed Bandits. CoRR (2017)
Rahul Meshram, Aditya Gopalan, D. Manjunath
A Hidden Markov Restless Multi-armed Bandit Model for Playout Recommendation Systems. CoRR (2017)
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Misspecified Linear Bandits. AAAI (2017)
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)
Gayathri R. Prabhu, Srikrishna Bhashyam, Aditya Gopalan, Rajesh Sundaresan
Optimal Odd Arm Identification with Fixed Confidence. CoRR (2017)
Sayak Ray Chowdhury, Aditya Gopalan
On Kernelized Multi-armed Bandits. ICML (2017)
Siddharth Barman, Aditya Gopalan, Aadirupa Saha
Online Learning for Structured Loss Spaces. CoRR (2017)
Parth Thaker, Aditya Gopalan, Rahul Vaze
When to arrive in a congested system: Achieving equilibrium via learning algorithm. WiOpt (2017)
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Misspecified Linear Bandits. CoRR (2017)
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)
Rahul Meshram, D. Manjunath, Aditya Gopalan
On the Whittle Index for Restless Multi-armed Hidden Markov Bandits. CoRR (2016)
Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan
Randomised Procedures for Initialising and Switching Actions in Policy Iteration. AAAI (2016)
Aditya Gopalan, Odalric-Ambrym Maillard, Mohammadi Zaki
Low-rank Bandits with Latent Mixtures. CoRR (2016)
Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan
Stochastic bandits on a social network: Collaborative learning with local information sharing. CoRR (2016)
Rahul Meshram, Aditya Gopalan, D. Manjunath
Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs. CoRR (2016)
Ravi Kumar Kolla, Krishna P. Jagannathan, Aditya Gopalan
Collaborative learning of stochastic bandits over a social network. Allerton (2016)
Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus
Weighted bandits or: How bandits learn distorted values that are not expected. CoRR (2016)
Rahul Meshram, Aditya Gopalan, D. Manjunath
Optimal recommendation to users that react: Online learning for a class of POMDPs. CDC (2016)
Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein
Optimizing distributed actor systems for dynamic interactive services. EuroSys (2016)
Rahul Meshram, D. Manjunath, Aditya Gopalan
A restless bandit with no observable states for recommendation systems and communication link scheduling. CDC (2015)
Abhinav Kumar, Sibi Raj B. Pillai, Rahul Vaze, Aditya Gopalan
Optimal WiFi sensing via dynamic programming. WiOpt (2015)
Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. 80 (4) (2015)
Aditya Gopalan, Shie Mannor
Thompson Sampling for Learning Parameterized Markov Decision Processes. COLT (2015)
Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
Epidemic Spreading With External Agents. IEEE Trans. Inf. Theory 60 (7) (2014)
Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR (2014)
Aditya Gopalan, Shie Mannor, Yishay Mansour
Thompson Sampling for Complex Online Problems. ICML (2014)
Aditya Gopalan, Shie Mannor
Thompson Sampling for Learning Parameterized MDPs. CoRR (2014)
Abhinav Kumar, Rahul Vaze, Sibi Raj B. Pillai, Aditya Gopalan
Optimal WiFi Sensing via Dynamic Programming. CoRR (2014)
Aditya Gopalan, Shie Mannor, Yishay Mansour
Thompson Sampling for Complex Bandit Problems. CoRR (2013)
Aditya Gopalan
Thompson Sampling for Online Learning with Linear Experts. CoRR (2013)
Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. 58 (6) (2013)

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Publication Activity (10 Years)

Top Topics

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Aditya Gopalan