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Akshay Krishnamurthy
Akshay Krishnamurthy
Verified email at cs.umass.edu - Homepage
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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
3412017
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
2462019
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
2462017
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
1872015
Low-rank matrix and tensor completion via adaptive sampling
A Krishnamurthy, A Singh
Advances in neural information processing systems 26, 2013
1662013
Parallelised Bayesian optimisation via Thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International Conference on Artificial Intelligence and Statistics, 133-142, 2018
1552018
Off-policy evaluation for slate recommendation
A Swaminathan, A Krishnamurthy, A Agarwal, M Dudik, J Langford, ...
Advances in Neural Information Processing Systems 30, 2017
1352017
DEGAS: de novo discovery of dysregulated pathways in human diseases
I Ulitsky, A Krishnamurthy, RM Karp, R Shamir
PloS one 5 (10), e13367, 2010
1352010
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
1222019
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
119*2019
PAC reinforcement learning with rich observations
A Krishnamurthy, A Agarwal, J Langford
Advances in Neural Information Processing Systems 29, 2016
1042016
Noise thresholds for spectral clustering
S Balakrishnan, M Xu, A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems 24, 2011
1042011
Nonparametric von mises estimators for entropies, divergences and mutual informations
K Kandasamy, A Krishnamurthy, B Poczos, L Wasserman
Advances in Neural Information Processing Systems 28, 2015
992015
Reward-free exploration for reinforcement learning
C Jin, A Krishnamurthy, M Simchowitz, T Yu
International Conference on Machine Learning, 4870-4879, 2020
952020
Efficient active algorithms for hierarchical clustering
A Krishnamurthy, S Balakrishnan, M Xu, A Singh
arXiv preprint arXiv:1206.4672, 2012
912012
Nonparametric estimation of renyi divergence and friends
A Krishnamurthy, K Kandasamy, B Poczos, L Wasserman
International Conference on Machine Learning, 919-927, 2014
882014
Kinematic state abstraction and provably efficient rich-observation reinforcement learning
D Misra, M Henaff, A Krishnamurthy, J Langford
International conference on machine learning, 6961-6971, 2020
862020
Flambe: Structural complexity and representation learning of low rank mdps
A Agarwal, S Kakade, A Krishnamurthy, W Sun
Advances in neural information processing systems 33, 20095-20107, 2020
862020
Optimism in reinforcement learning with generalized linear function approximation
Y Wang, R Wang, SS Du, A Krishnamurthy
arXiv preprint arXiv:1912.04136, 2019
842019
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
802017
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