Akshay Krishnamurthy
Akshay Krishnamurthy
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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
2342017
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
1852015
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
1672017
Low-rank matrix and tensor completion via adaptive sampling
A Krishnamurthy, A Singh
arXiv preprint arXiv:1304.4672, 2013
1542013
DEGAS: de novo discovery of dysregulated pathways in human diseases
I Ulitsky, A Krishnamurthy, RM Karp, R Shamir
PloS one 5 (10), e13367, 2010
1292010
Parallelised bayesian optimisation via thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International Conference on Artificial Intelligence and Statistics, 133-142, 2018
1132018
Deep batch active learning by diverse, uncertain gradient lower bounds
JT Ash, C Zhang, A Krishnamurthy, J Langford, A Agarwal
arXiv preprint arXiv:1906.03671, 2019
1042019
Noise thresholds for spectral clustering
S Balakrishnan, M Xu, A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems 24, 954-962, 2011
1022011
Off-policy evaluation for slate recommendation
A Swaminathan, A Krishnamurthy, A Agarwal, M Dudík, J Langford, ...
arXiv preprint arXiv:1605.04812, 2016
1012016
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations.
K Kandasamy, A Krishnamurthy, B Poczos, LA Wasserman, JM Robins
NIPS 15, 397-405, 2015
902015
Efficient active algorithms for hierarchical clustering
A Krishnamurthy, S Balakrishnan, M Xu, A Singh
arXiv preprint arXiv:1206.4672, 2012
902012
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
78*2019
Nonparametric estimation of renyi divergence and friends
A Krishnamurthy, K Kandasamy, B Poczos, L Wasserman
International Conference on Machine Learning, 919-927, 2014
762014
Provably efficient RL with rich observations via latent state decoding
S Du, A Krishnamurthy, N Jiang, A Agarwal, M Dudik, J Langford
International Conference on Machine Learning, 1665-1674, 2019
712019
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
712017
PAC reinforcement learning with rich observations
A Krishnamurthy, A Agarwal, J Langford
arXiv preprint arXiv:1602.02722, 2016
712016
Efficient algorithms for adversarial contextual learning
V Syrgkanis, A Krishnamurthy, R Schapire
International Conference on Machine Learning, 2159-2168, 2016
592016
Near-optimal anomaly detection in graphs using lovasz extended scan statistic
J Sharpnack, A Krishnamurthy, A Singh
arXiv preprint arXiv:1312.3291, 2013
582013
On oracle-efficient PAC RL with rich observations
C Dann, N Jiang, A Krishnamurthy, A Agarwal, J Langford, RE Schapire
arXiv preprint arXiv:1803.00606, 2018
53*2018
Optimism in reinforcement learning with generalized linear function approximation
Y Wang, R Wang, SS Du, A Krishnamurthy
arXiv preprint arXiv:1912.04136, 2019
502019
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