Akshay Krishnamurthy

Publications by Year

Research Areas

Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Reinforcement Learning in Robotics, Sparse and Compressive Sensing Techniques, Machine Learning and Data Classification

Most-Cited Works

• → Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning(2017)356 cited
• → Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds(2019)280 cited
• → Contextual Decision Processes with Low Bellman Rank are PAC-Learnable(2016)153 cited
• Parallelised Bayesian Optimisation via Thompson Sampling(2018)
• → Learning to Search Better Than Your Teacher(2015)91 cited
• → A Hierarchical Algorithm for Extreme Clustering(2017)89 cited
• → Low-Rank Matrix and Tensor Completion via Adaptive Sampling(2013)87 cited
• Nonparametric von Mises estimators for entropies, divergences and mutual informations(2015)
• → Noise Thresholds for Spectral Clustering(2018)64 cited