Sotabase

Career

· Doctor of Philosophy - PhD, Operations Research, University of Illinois at Urbana-Champaign2020–2026
· Research Intern, Nokia Bell Labs2019–2019
· Summer Intern, Optimus Ride2018–2018
· Summer Intern, Toyota Research Institute2017–2017
· MIT EECS - Cisco Research And Innovation Scholar, Massachusetts Institute of Technology (MIT)2016–2017
· Application Engineer Intern, Texas Instruments2016–2016
· January Intern, Vanu, Inc.2016–2016
· Bachelor of Science (B.Sc.), Electrical, Electronics and Communications Engineering, Massachusetts Institute of Technology2014–2018
· Undergraduate Researcher, Robot Locomotion Group at MIT CSAIL2014–2016

Publications (91)

On Kernelized Multi-armed Bandits
International Conference on Machine Learning · 2017
521
cited
Thompson Sampling for Complex Online Problems
International Conference on Machine Learning · 2013
205
cited
Thompson Sampling for Learning Parameterized Markov Decision Processes
Annual Conference Computational Learning Theory · 2014
121
cited
Collaborative learning of stochastic bandits over a social network
Allerton Conference on Communication, Control, and Computing · 2016
76
cited
Misspecified Linear Bandits
AAAI Conference on Artificial Intelligence · 2017
72
cited
On Wireless Scheduling With Partial Channel-State Information
IEEE Transactions on Information Theory · 2012
68
cited
On the Whittle Index for Restless Multiarmed Hidden Markov Bandits
IEEE Transactions on Automatic Control · 2016
57
cited
On Online Learning in Kernelized Markov Decision Processes
arXiv.org · 2019
52
cited
Battle of Bandits
Conference on Uncertainty in Artificial Intelligence · 2018
46
cited
PAC Battling Bandits in the Plackett-Luce Model
International Conference on Algorithmic Learning Theory · 2018
36
cited
Epidemic Spreading With External Agents
IEEE Transactions on Information Theory · 2012
34
cited
Stability and Scalability of Blockchain Systems
Measurement and Modeling of Computer Systems · 2020
34
cited
Combinatorial Bandits with Relative Feedback
Neural Information Processing Systems · 2019
32
cited
Bayesian Optimization under Heavy-tailed Payoffs
Neural Information Processing Systems · 2019
30
cited
Active Ranking with Subset-wise Preferences
International Conference on Artificial Intelligence and Statistics · 2018
29
cited
CORNET: A Co-Simulation Middleware for Robot Networks
International Conference on Communication Systems and Networks · 2020
28
cited
Low-rank Bandits with Latent Mixtures
arXiv.org · 2016
28
cited
Optimizing distributed actor systems for dynamic interactive services
European Conference on Computer Systems · 2016
27
cited
Optimal recommendation to users that react: Online learning for a class of POMDPs
IEEE Conference on Decision and Control · 2016
26
cited
User rankings from comparisons: Learning permutations in high dimensions
Allerton Conference on Communication, Control, and Computing · 2011
25
cited
Sotabase
Aditya Gopalan | Researcher Profile | Sotabase | Sotabase