One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning
Pedro Cisneros Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar
International Conference on Artificial Intelligence and Statistics (AISTATS)

Differentially Private Matrix Completion through Low-rank Matrix Factorization
Lingxiao Wang, Boxin Zhao, Mladen Kolar
International Conference on Artificial Intelligence and Statistics (AISTATS)

Provably training overparameterized neural network classifiers with non-convex constraints
You-Lin Chen, Zhaoran Wang, Mladen Kolar
Electronic Journal of Statistics 16(2)

Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang, Sen Na, Michael W. Mahoney, Mladen Kolar
Technical Report

Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu, Xiaohan Wei, Mladen Kolar
AAAI Conference on Artificial Intelligence (to appear)

Local AdaGrad-type algorithm for stochastic convex-concave optimization
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
Machine Learning

Latent Multimodal Functional Graphical Model Estimation
Katherine Tsai, Boxin Zhao, Oluwasanmi Koyejo, Mladen Kolar
Technical report

On the Lasso for Graphical Continuous Lyapunov Models
Philipp Dettling, Mathias Drton, Mladen Kolar
Technical report

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
Proceedings of the 39th International Conference on Machine Learning (ICML) 2022

An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians
Sen Na, Mihai Anitescu, Mladen Kolar
Mathematical Programming

Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems
Yuwei Luo, Varun Gupta, Mladen Kolar
Proceedings of the 2022 ACM SIGMETRICS

Personalized Federated Learning with Multiple Known Clusters
Boxiang Lyu, Filip Hanzely, Mladen Kolar
Technical report (arXiv:2204.13619)

A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
Journal of Machine Learning Research

FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Journal of Machine Learning Research

Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai, Oluwasanmi Koyejo, Mladen Kolar
WIREs Computational Statistics

L-SVRG and L-Katyusha with Adaptive Sampling
Boxin Zhao, Boxiang Lyu, Mladen Kolar
Technical report

Inference for high-dimensional varying-coefficient quantile regression
Ran Dai, Mladen Kolar
Electronic Journal of Statistics 15(2)

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou
Technical report

Two-sample inference for high-dimensional Markov networks
Byol Kim, Song Liu, Mladen Kolar
Journal of the Royal Statistical Society. Series B. Statistical Methodology 83(5)

Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Sen Na, Mihai Anitescu, Mladen Kolar
Technical report

A Fast Temporal Decomposition Procedure for Long-horizon Nonlinear Dynamic Programming
Sen Na, Mihai Anitescu, Mladen Kolar
Technical report

Robust Inference for High-Dimensional Linear Models via Residual Randomization
Y. Samuel Wang, Si Kai Lee, Panos Toulis, Mladen Kolar
Proceedings of the 38th International Conference on Machine Learning (ICML) 2021

Estimating differential latent variable graphical models with applications to brain connectivity
Sen Na, Mladen Kolar, Oluwasanmi Koyejo
Biometrika 108(2)

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
Boxin Zhao, Percy Zhai, Y. Samuel Wang, Mladen Kolar
Technical report

High-dimensional Index Volatility Models via Stein's Identity
Sen Na, Mladen Kolar
Bernoulli 27(2)

Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely, Boxin Zhao, Mladen Kolar
Technical report

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
Technical report

Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees
You-Lin Chen, Mladen Kolar, Ruey S. Tsay
Journal of Computational and Graphical Statistics 30(3)

Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar
Advances in Neural Information Processing Systems 33 (NeurIPS) 2020

Statistical Inference for Networks of High-Dimensional Point Processes
Xu Wang, Mladen Kolar, Ali Shojaie
Technical report

Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition
You-Lin Chen, Sen Na, Mladen Kolar
Technical report

Estimation of a Low-rank Topic-Based Model for Information Cascades
Ming Yu, Varun Gupta, Mladen Kolar
Journal of Machine Learning Research

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
Proceedings of the 37th International Conference on Machine Learning (ICML) 2020

Posterior Ratio Estimation for Latent Variables
Yulong Zhang, Mingxuan Yi, Song Liu, Mladen Kolar
Technical report

Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
Ming Yu, Varun Gupta, Mladen Kolar
Electronic Journal of Statistics 14(1)

Kernel meets sieve: post-regularization confidence bands for sparse additive model
Junwei Lu, Mladen Kolar, Han Liu
Journal of the American Statistical Association 115(532)

Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching
Ming Yu, Varun Gupta, Mladen Kolar
Journal of Machine Learning Research

Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
Technical report

Constrained High Dimensional Statistical Inference
Ming Yu, Varun Gupta, Mladen Kolar
arXiv:1911.07319

Partially Linear Additive Gaussian Graphical Models
Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo
Proceedings of the 36th International Conference on Machine Learning

Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu, Varun Gupta, Mladen Kolar
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics

Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
Advances in Neural Information Processing Systems 32

Direct Estimation of Differential Functional Graphical Models
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Advances in Neural Information Processing Systems 32

High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
Journal of Machine Learning Research

Distributed Stochastic Multi-Task Learning with Graph Regularization
Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro
arXiv:1802.03830

Joint Nonparametric Precision Matrix Estimation with Confounding
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Uncertainty in Artificial Intelligence

Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
Junwei Lu, Mladen Kolar, Han Liu
Journal of Machine Learning Research

Provable Gaussian Embedding with One Observation
Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang
Advances in Neural Information Processing Systems 31

ROCKET: Robust confidence intervals via Kendall's tau for transelliptical graphical models
Rina Foygel Barber, Mladen Kolar
Ann. Statist

Scalable Peaceman-Rachford Splitting Method with Proximal Terms
Sen Na, Mingyuan Ma, Mladen Kolar
arXiv:1711.04955

Efficient Distributed Learning with Sparsity
Jialei Wang, Mladen Kolar, Nathan Srebro, Tong Zhang
Proceedings of the 34th International Conference on Machine Learning

Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Jialei Wang, Jason Lee, Mehrdad Mahdavi, Mladen Kolar, Nati Srebro
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics

An Influence-Receptivity Model for Topic based Information Cascades
Ming Yu, Varun Gupta, Mladen Kolar
2017 IEEE International Conference on Data Mining

Recovering block-structured activations using compressive measurements
Sivaraman Balakrishnan, Mladen Kolar, Alessandro Rinaldo, Aarti Singh
Electron. J. Statist

Sketching meets random projection in the dual: a provable recovery algorithm for big and high-dimensional data
Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nathan Srebro
Electron. J. Stat

The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Sai Suggala, Mladen Kolar, Pradeep Ravikumar
Advances in Neural Information Processing Systems 30

Uniform inference for high-dimensional quantile regression: linear functionals and regression rank scores
Jelena Bradic, Mladen Kolar
arXiv preprint arXiv:1702.06209

Distributed Multi-Task Learning
Jialei Wang, Mladen Kolar, Nathan Srerbo
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics

Distributed Multi-Task Learning with Shared Representation
Jialei Wang, Mladen Kolar, Nathan Srebro
Technical report

Discussion of ``Coauthorship and citation networks for statisticians''
Mladen Kolar, Matt Taddy
Annals of Applied Statistics

Inference for High-dimensional Exponential Family Graphical Models
Jialei Wang, Mladen Kolar
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics

Statistical Inference for Pairwise Graphical Models Using Score Matching
Ming Yu, Varun Gupta, Mladen Kolar
Advances in Neural Information Processing Systems 29

Learning structured densities via infinite dimensional exponential families
Siqi Sun, Mladen Kolar, Jinbo Xu
Advances in Neural Information Processing Systems 28

Optimal variable selection in multi-group sparse discriminant analysis
Irina Gaynanova, Mladen Kolar
Electron. J. Stat

A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao, Mladen Kolar, Han Liu
ArXiv e-prints, arXiv:1412.8724

Inference for Sparse Conditional Precision Matrices
Jialei Wang, Mladen Kolar
ArXiv e-prints, arXiv:1412.7638

Mean and variance estimation in high-dimensional heteroscedastic models with non-convex penalties
James Sharpnack, Mladen Kolar
ArXiv e-prints, arXiv:1410.7874

Optimal Feature Selection in High-Dimensional Discriminant Analysis
Mladen Kolar, Han Liu
IEEE Trans. Inf. Theory

Berry-Esseen bounds for estimating undirected graphs
Larry Wasserman, Mladen Kolar, Alessandro Rinaldo
Electron. J. Stat

Graph Estimation From Multi-attribute Data
Mladen Kolar, Han Liu, Eric P. Xing
J. Mach. Learn. Res

Feature Selection in High-Dimensional Classification
Mladen Kolar, Han Liu
Proceedings of the 30th International Conference on Machine Learning

Markov Network Estimation From Multi-attribute Data
Mladen Kolar, Han Liu, Eric P. Xing
Proceedings of the 30th International Conference on Machine Learning

Consistent Covariance Selection From Data With Missing Values
Mladen Kolar, Eric P. Xing
Proceedings of the 29th International Conference on Machine Learning

Variance Function Estimation in High-dimensions
Mladen Kolar, James Sharpnack
Proceedings of the 29th International Conference on Machine Learning

Estimating Networks With Jumps
Mladen Kolar, Eric P. Xing
Electron. J. Stat

Marginal Regression For Multitask Learning
Mladen Kolar, Han Liu
Proceedings of the 15th International Conference on Artificial Intelligence and Statistics

Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh
Advances in Neural Information Processing Systems 24

On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics

Statistical and computational tradeoffs in biclustering
Sivaraman Balakrishnan, Mladen Kolar, Alessandro Rinaldo, Aarti Singh, Larry Wasserman
NIPS 2011 Workshop on Computational Trade-offs in Statistical Learning

Union Support Recovery In Multi-task Learning
Mladen Kolar, John D. Lafferty, Larry A. Wasserman
J. Mach. Learn. Res

Estimating Time-varying Networks
Mladen Kolar, Le Song, Amr Ahmed, Eric P. Xing
Ann. Appl. Stat

On Sparse Nonparametric Conditional Covariance Selection
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
Proc. 27th Int. Conf. Mach. Learn.

Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
Mladen Kolar, Eric P. Xing
Proc. of AISTATS

Sparsistent Estimation Of Time-varying Discrete Markov Random Fields
Mladen Kolar, Eric P. Xing
ArXiv e-prints, arXiv:0907.2337

KELLER: estimating time-varying interactions between genes
L. Song, M. Kolar, E. P. Xing
Bioinformatics

Sparsistent Learning Of Varying-coefficient Models With Structural Changes
Mladen Kolar, Le Song, Eric P. Xing
Proc. of NIPS

Time-varying Dynamic Bayesian Networks
Le Song, Mladen Kolar, Eric P. Xing
Proc. of NIPS

CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing
Pradipta Ray, Suyash Shringarpure, Mladen Kolar, Eric P. Xing
PLoS Computational Biology

Comparison of collocation extraction measures for document indexing
S. Petrovic, J. Snajder, B. Dalbelo-Basic, M. Kolar
28th International Conference on Information Technology Interfaces, 2006.

Computer-Aided document Indexing Systems
Mladen Kolar, Igor Vukmirovic, Bojana Dalbelo-Basic, Jan Snajder
Journal of Computing and Information Technology