Aditya Gopalan

CoRR, 2024

Testing the Feasibility of Linear Programs with Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model-Based Best Arm Identification for Decreasing Bandits.

[BibT_eX]

[DOI]

Sho Takemori

Yuhei Umeda

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

A Unified Framework for Discovering Discrete Symmetries.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Data flow dissemination in a network.

[BibT_eX]

[DOI]

Alexander L. Stolyar

Queueing Syst. Theory Appl., December, 2023

When are Bandits Robust to Misspecification?

[BibT_eX]

[DOI]

Debangshu Banerjee

CoRR, 2023

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

[BibT_eX]

[DOI]

Debangshu Banerjee

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Bregman Deviations of Generic Exponential Families.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Actor-Critic based Improper Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Gugan Thoppe

CoRR, 2022

Adaptive Estimation of Random Vectors with Bandit Feedback.

[BibT_eX]

[DOI]

Dipayan Sen

Prashanth L. A.

CoRR, 2022

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

[BibT_eX]

[DOI]

Avi Mohan

Ramakrishnan Krishnamurthy

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

Actor-Critic based Improper Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

On Slowly-varying Non-stationary Bandits.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Improper Learning with Gradient-based Policy Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Bandit Quickest Changepoint Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mohitvishnu Srinivas Gadde

Soumya Subhra Banerjee

Suresh Sundaram

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

Reinforcement Learning in Parametric MDPs with Exponential Families.

[BibT_eX]

[DOI]

Odalric-Ambrym Maillard

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

No-regret Algorithms for Multi-task Bayesian Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Anurag Kumar

IEEE/ACM Trans. Netw., 2020

Stability and Scalability of Blockchain Systems.

[BibT_eX]

[DOI]

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

Stochastic Linear Bandits with Protected Subspace.

[BibT_eX]

[DOI]

Advait Parulekar

Soumya Basu

Karthikeyan Shanmugam

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Himanshu Tyagi

CoRR, 2020

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

[BibT_eX]

[DOI]

Anurag Kumar

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 National Conference on Communications, 2020

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

[BibT_eX]

[DOI]

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

CORNET: A Co-Simulation Middleware for Robot Networks.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Sequential Mode Estimation with Oracle Queries.

[BibT_eX]

[DOI]

Dhruti Shah

Tuhinangshu Choudhury

Nikhil Karamchandani

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

On Adaptivity in Information-Constrained Online Learning.

[BibT_eX]

[DOI]

Siddharth Mitra

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

2019

Towards Optimal and Efficient Best Arm Identification in Linear Bandits.

[BibT_eX]

[DOI]

CoRR, 2019

On Batch Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Regret Minimisation in Multinomial Logit Bandits.

[BibT_eX]

[DOI]

CoRR, 2019

Combinatorial Bandits with Relative Feedback.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

PAC Battling Bandits in the Plackett-Luce Model.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 2019

Active Ranking with Subset-wise Preferences.

[BibT_eX]

[DOI]

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

Online Learning in Kernelized Markov Decision Processes.

[BibT_eX]

[DOI]

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

2018

Collaborative Learning of Stochastic Bandits Over a Social Network.

[BibT_eX]

[DOI]

Ravi Kumar Kolla

Krishna P. Jagannathan

IEEE/ACM Trans. Netw., 2018

On the Whittle Index for Restless Multiarmed Hidden Markov Bandits.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Battle of Bandits.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Prakirt Raj Jhunjhunwala

Sharayu Moharir

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

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

[BibT_eX]

[DOI]

Anurag Kumar

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Online Learning for Structured Loss Spaces.

[BibT_eX]

[DOI]

Siddharth Barman

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

2017

Optimal Odd Arm Identification with Fixed Confidence.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Parth Thaker

Rahul Vaze

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

On Kernelized Multi-armed Bandits.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Restless bandits that hide their hand and recommendation systems.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Misspecified Linear Bandits.

[BibT_eX]

[DOI]

Avishek Ghosh

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

2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Ravi Kumar Kolla

Krishna P. Jagannathan

CoRR, 2016

Low-rank Bandits with Latent Mixtures.

[BibT_eX]

[DOI]

Odalric-Ambrym Maillard

CoRR, 2016

Optimizing distributed actor systems for dynamic interactive services.

[BibT_eX]

[DOI]

Proceedings of the Eleventh European Conference on Computer Systems, 2016

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

[BibT_eX]

[DOI]

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

Randomised Procedures for Initialising and Switching Actions in Policy Iteration.

[BibT_eX]

[DOI]

Shivaram Kalyanakrishnan

Neeldhara Misra

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

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

[BibT_eX]

[DOI]

Queueing Syst. Theory Appl., 2015

Optimal WiFi sensing via dynamic programming.

[BibT_eX]

[DOI]

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

Thompson Sampling for Learning Parameterized Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

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

[BibT_eX]

[DOI]

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

2014

Epidemic Spreading With External Agents.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Thompson Sampling for Learning Parameterized MDPs.

[BibT_eX]

[DOI]

CoRR, 2014

Thompson Sampling for Complex Online Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

Thompson Sampling for Complex Bandit Problems.

[BibT_eX]

[DOI]

Yishay Mansour

CoRR, 2013

Thompson Sampling for Online Learning with Linear Experts.

[BibT_eX]

[DOI]

CoRR, 2013

2012

On Wireless Scheduling With Partial Channel-State Information.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

On distributed scheduling with heterogeneously delayed network-state information.

[BibT_eX]

[DOI]

Queueing Syst. Theory Appl., 2012

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

[BibT_eX]

[DOI]

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

2011

Random mobility and the spread of infection.

[BibT_eX]

[DOI]

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

User rankings from comparisons: Learning permutations in high dimensions.

[BibT_eX]

[DOI]

Ioannis Mitliagkas