Kevin Tian
Kevin Tian
PhD Student, Stanford Computer Science
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
On the power dominating sets of hypercubes
N Dean, A Ilic, I Ramirez, J Shen, K Tian
2011 14th IEEE International Conference on Computational Science and …, 2011
292011
Predicting gene expression in massively parallel reporter assays: A comparative study
A Kreimer, H Zeng, MD Edwards, Y Guo, K Tian, S Shin, R Welch, ...
Human mutation 38 (9), 1240-1250, 2017
272017
Learning populations of parameters
K Tian, W Kong, G Valiant
Advances in Neural Information Processing Systems, 2017, 2017
252017
A Direct O~(1/ε) Iteration Parallel Algorithm for Optimal Transport
A Jambulapati, A Sidford, K Tian
Advances in Neural Information Processing Systems, 2019, 2019
22*2019
A novel k-mer set memory (KSM) motif representation improves regulatory variant prediction
Y Guo, K Tian, H Zeng, X Guo, DK Gifford
Genome research 28 (6), 891-900, 2018
222018
Variance Reduction for Matrix Games
Y Carmon, Y Jin, A Sidford, K Tian
Advances in Neural Information Processing Systems, 2019, 2019
212019
Coordinate Methods for Accelerating Regression and Faster Approximate Maximum Flow
A Sidford, K Tian
Foundations of Computer Science (FOCS), 2018 IEEE 59th Annual Symposium on, 2018
19*2018
A Rank-1 Sketch for Matrix Multiplicative Weights
Y Carmon, JC Duchi, A Sidford, K Tian
Conference on Learning Theory, 2019, 2019
142019
Positive Semidefinite Programming: Mixed, Parallel, and Width-Independent
A Jambulapati, YT Lee, J Li, S Padmanabhan, K Tian
Symposium on Theory of Computing (STOC), 2020, 2020
92020
Coordinate Methods for Matrix Games
Y Carmon, Y Jin, A Sidford, K Tian
Foundations of Computer Science (FOCS), 2020, 2020
82020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
A Jambulapati, J Li, K Tian
Advances in Neural Information Processing Systems, 2020, 2020
62020
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
YT Lee, R Shen, K Tian
Conference on Learning Theory, 2020, 2020
52020
Acceleration with a Ball Optimization Oracle
Y Carmon, A Jambulapati, Q Jiang, Y Jin, YT Lee, A Sidford, K Tian
Advances in Neural Information Processing Systems, 2020, 2020
32020
Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration
MB Cohen, A Sidford, K Tian
Innovations in Theoretical Computer Science (ITCS), 2021, 2021
22021
Composite Logconcave Sampling with a Restricted Gaussian Oracle
R Shen, K Tian, YT Lee
arXiv preprint arXiv:2006.05976, 2020
22020
Well-Conditioned Methods for Ill-Conditioned Systems: Linear Regression with Semi-Random Noise
J Li, A Sidford, K Tian, H Zhang
arXiv preprint arXiv:2008.01722, 2020
12020
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
K Tian, T Zhang, J Zou
ICML 2018: International Conference of Machine Learning, 2018
12018
Semi-Streaming Bipartite Matching in Fewer Passes and Less Space
Y Jin, A Sidford, K Tian
arXiv preprint arXiv:2011.03495, 2020
2020
List-Decodable Mean Estimation in Nearly-PCA Time
I Diakonikolas, DM Kane, D Kongsgaard, J Li, K Tian
arXiv preprint arXiv:2011.09973, 2020
2020
K-mer Set Memory (KSM) Motif Representation Enables Accurate Prediction of the Impact of Regulatory Variants.
Y Guo, K Tian, H Zeng, DK Gifford
RECOMB, 372-374, 2017
2017
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