Akshay Krishnamurthy
Akshay Krishnamurthy
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning
R Das, S Dhuliawala, M Zaheer, L Vilnis, I Durugkar, A Krishnamurthy, ...
arXiv preprint arXiv:1711.05851, 2017
1652017
Learning to search better than your teacher
KW Chang, A Krishnamurthy, A Agarwal, J Langford, H Daumé III
International Conference on Machine Learning, 2015, 2015
1642015
Low-rank matrix and tensor completion via adaptive sampling
A Krishnamurthy, A Singh
Advances in neural information processing systems, 836-844, 2013
1422013
DEGAS: de novo discovery of dysregulated pathways in human diseases
I Ulitsky, A Krishnamurthy, RM Karp, R Shamir
PloS one 5 (10), e13367, 2010
1222010
Contextual decision processes with low bellman rank are pac-learnable
N Jiang, A Krishnamurthy, A Agarwal, J Langford, RE Schapire
International Conference on Machine Learning, 1704-1713, 2017
1102017
Noise thresholds for spectral clustering
S Balakrishnan, M Xu, A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems, 954-962, 2011
912011
Efficient active algorithms for hierarchical clustering
A Krishnamurthy, S Balakrishnan, M Xu, A Singh
arXiv preprint arXiv:1206.4672, 2012
822012
Parallelised bayesian optimisation via thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International Conference on Artificial Intelligence and Statistics, 133-142, 2018
782018
Off-policy evaluation for slate recommendation
A Swaminathan, A Krishnamurthy, A Agarwal, M Dudik, J Langford, ...
Advances in Neural Information Processing Systems 30, 3632-3642, 2017
782017
Nonparametric von mises estimators for entropies, divergences and mutual informations
K Kandasamy, A Krishnamurthy, B Poczos, L Wasserman
Advances in Neural Information Processing Systems, 397-405, 2015
682015
Nonparametric estimation of renyi divergence and friends
A Krishnamurthy, K Kandasamy, B Poczos, L Wasserman
International Conference on Machine Learning, 919-927, 2014
682014
Efficient algorithms for adversarial contextual learning
V Syrgkanis, A Krishnamurthy, R Schapire
International Conference on Machine Learning, 2159-2168, 2016
572016
A hierarchical algorithm for extreme clustering
A Kobren, N Monath, A Krishnamurthy, A McCallum
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
532017
Near-optimal anomaly detection in graphs using lovasz extended scan statistic
JL Sharpnack, A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems, 1959-1967, 2013
532013
PAC reinforcement learning with rich observations
A Krishnamurthy, A Agarwal, J Langford
Advances in Neural Information Processing Systems, 1840-1848, 2016
512016
Model-based rl in contextual decision processes: Pac bounds and exponential improvements over model-free approaches
W Sun, N Jiang, A Krishnamurthy, A Agarwal, J Langford
Conference on Learning Theory, 2898-2933, 2019
43*2019
Provably efficient rl with rich observations via latent state decoding
SS Du, A Krishnamurthy, N Jiang, A Agarwal, M Dudík, J Langford
arXiv preprint arXiv:1901.09018, 2019
402019
Detecting activations over graphs using spanning tree wavelet bases
J Sharpnack, A Singh, A Krishnamurthy
Artificial Intelligence and Statistics, 536-544, 2013
382013
Fine-grained privilege separation for web applications
A Krishnamurthy, A Mettler, D Wagner
Proceedings of the 19th international conference on World wide web, 551-560, 2010
372010
Exploratory gradient boosting for reinforcement learning in complex domains
D Abel, A Agarwal, F Diaz, A Krishnamurthy, RE Schapire
arXiv preprint arXiv:1603.04119, 2016
362016
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