Krishnakumar Balasubramanian
Krishnakumar Balasubramanian
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
The Landmark Selection Method for Multiple Output Prediction
K Balasubramanian, G Lebanon
Proc. of the 29th International Conference on Machine Learning (ICML), 2012
952012
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels.
P Donmez, G Lebanon, K Balasubramanian
Journal of Machine Learning Research 11 (4), 2010
502010
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
K Balasubramanian, S Ghadimi
Advances in Neural Information Processing Systems (NIPS), 2018
492018
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
K Balasubramanian, K Yu, G Lebanon
Artificial Intelligence, 2016
392016
Smooth sparse coding via marginal regression for learning sparse representations
K Balasubramanian, K Yu, G Lebanon
International Conference on Machine Learning, 289-297, 2013
392013
Ultrahigh Dimensional Feature Screening via RKHS Embeddings
K Balasubramanian, BK Sriperumbudur, G Lebanon
AISTATS, 2013
332013
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
HL Zhuoran Yang, Krishnakumar Balasubramanian
International Conference on Machine Learning, 2017
292017
Learning Non-Gaussian Multi-Index Model via Second-Order Stein’s Method
Z Yang, K Balasubramanian, Z Wang, H Liu
Advances in Neural Information Processing Systems, 6099-6108, 2017
25*2017
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels.
K Balasubramanian, P Donmez, G Lebanon
Journal of Machine Learning Research 12, 1-30, 2011
23*2011
Dimensionality reduction for text using domain knowledge
Y Mao, K Balasubramanian, G Lebanon
Coling 2010: Posters, 801-809, 2010
232010
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points
K Balasubramanian, S Ghadimi
arXiv preprint arXiv:1809.06474v2, 2019
172019
Asymptotic analysis of generative semi-supervised learning
JV Dillon, K Balasubramanian, G Lebanon
Arxiv preprint arXiv:1003.0024, 2010
142010
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models
Z Yang, K Balasubramanian, H Liu
arXiv preprint arXiv:1709.08795, 2017
122017
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
K Balasubramanian, T Li, M Yuan
arXiv preprint arXiv:1709.08148, 2017
112017
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
A Anastasiou, K Balasubramanian, M Erdogdu
Conference on Learning Theory, 2019
102019
A fast algorithm for nonnegative tensor factorization using block coordinate descent and an active-set-type method
K Balasubramanian, J Kim, A Puretskiy, MW Berry, H Park
SIAM Text Mining, 2010
92010
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
Z Wang, K Balasubramanian, S Ma, M Razaviyayn
arXiv preprint arXiv:2001.07819, 2020
62020
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
A Roy, K Balasubramanian, S Ghadimi, P Mohapatra
arXiv preprint arXiv:1907.13616, 2019
62019
Tensor Methods for Additive Index Models under Discordance and Heterogeneity
K Balasubramanian, J Fan, Z Yang
arXiv preprint arXiv:1807.06693, 2018
62018
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
A Roy, Y Chen, K Balasubramanian, P Mohapatra
arXiv preprint arXiv:1912.01698, 2019
52019
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