Vikram Krishnamurthy
5 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Core AI
(2)
Methods
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Probability
(1)
Keywords
inverse reinforcement learning
(3)
hidden markov model
(2)
langevin dynamics
(1)
sequence modeling
(1)
probabilistic modeling
(1)
bayesian learning
(1)
bayesian inference
(1)
markov decision process
(1)
maximum likelihood
(1)
state estimation
(1)
sequential hypothesis testing
(1)
reward function
(1)
contextual bandit
(1)
cost function
(1)
user behavior modeling
(1)
method of moment
(1)
mixed integer linear program
(1)
deep embedded clustering
(1)
stopping time
(1)
cost function estimation
(1)
Papers
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems
JMLR 2023
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms
JMLR 2021
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
ICML 2020
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
JMLR 2020
Inverse Filtering for Hidden Markov Models
NeurIPS 2017