Jointly Low Rank and Bisparse Recover: Questions and Partial Answers
By: Simon Foucart, Remi Gribonvaly, Laurent Jacques, and Holger Rauhut
Approximability Models and Optimal System Identification
By: Mahmood Ettehad and Simon Foucart
Sampling Schemes and Recovery Algorithms for Functions of Few Coordinate Variables
By: Simon Foucart
Nonlinear Approximation and (Deep) ReLU Networks
By: Ingrid Daubechies, Ronald Devore, Simon Foucart, Boris Hanin, and Guergana Petrova
Gaussian Processes with Errors in Variables: Theory and Computation
By: Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang and Raymond Carroll
Bayesian Graph Selection Consistency Under Model Misspecification
By: Yabo Niu, Debdeep Pati and Bani Mallick
Frequentist Coverage and Sup-Norm Convergence Rate in Gaussian Process Regression
By: Yun Yang, Anirban Bhattacharya and Debdeep Pati
An Online Detection Framework for Cyber Attacks on Automatic Generation Control
By: Tong Huang, Bharadwaj Satchidanandan, P.R. Kumar, and Le Xie
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis
By: Thanh V. Nguyen, Raymond K. W. Wong and Chinmay Hegde
Variational Graph Recurrent Neural Networks
By: Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou and Xiaoning Qian
Semi-Implicit Graph Variational Auto-Encoders
By: Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou and Xiaoning Qian
Semi-Implicit Stochastic Recurrent Neural Networks
By: Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou and Xiaoning Qian
Quantile Graphical Models: Bayesian Approaches
By: Nilabja Guha, Veera Baladandayuthapani and Bani K. Mallick
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
By: Abhra Sarkar, Debdeep Pati, Bani K. Mallick and Raymond J. Carroll
Finer Metagenomic Reconstruction via Biodiversity Optimization
By: Simon Foucart and David Koslicki
Instances of Computational Optimal Recovery: Dealing with Observation Errors
By: Mahmood Ettehad and Simon Foucart
Instances of Computational Optimal Recovery: Refined Approximability Models
By: Simon Foucart
Facilitating OWL Norm Minimizations
By: Simon Foucart
Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors
By: Shuang Zhou, Pallavi Ray, Debdeep Pati and Anirban Bhattacharya
Non-Asymptotic Laplace Approximation Under Model Misspecification
By: Anirban Bhattacharya and Debdeep Pati
Median Matrix Completion: from Embarrassment to Optimality
By: Weidong Liu, Xiaojun Mao and Raymond K. W. Wong
Impact of States Reopening on COVID-19 Transmission
By: Se Yoon Le, Bowen Lei, Martial L. Ndeffo-Mbah, Bani K. Mallick
Low-Rank Covariance Function Estimation for Multidimensional Functional Data
By: Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang
Broadcasted Nonparametric Tensor Regression
By: Ya Zhou, Raymond K. W. Wong and Kejun He
Revisiting Constraints on the Maximum Neutron Star Mass in Light of GW190814
By: Yeunhwan Lim, Anirban Bhattacharya, Jeremy W. Holt, and Debdeep Pati
Dynamics of Coordinate Ascent Variational Inference: A Case Study
By: Sean Plummer, Debdeep Pati, and Anirban Bhattacharya
Bayesian Hierarchical Modeling on Covariance Valued Data
By: Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya and Debdeep Pati
Continuous Shrinkage Prior Revisited: A Collapsing Behavior and Remedy
By: Se Yoon Lee, Debdeep Pati, and Bani K. Mallick
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
By: Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang and Xiaoning Qian
Bayesian Graph Neural Networks with Adaptive Connection Sampling
By: Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan and Xiaoning Qian
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
By: Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou and Xiaoning Qian
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
By: Biraj Subhra Guha, Anirban Bhattacharya and Debdeep Pati
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
By: Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David Dunson and Debdeep Pati
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models
By: Indrajit Ghosh, Anirban Bhattacharya and Debdeep Pati
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables
By: Zhao Tang Luo, Huiyan Sang and Bani Mallick
Circadian Gene Selection for Time-to-event Phenotype by Integrating CNV and RNAseq Data
By: Arnab Kumar Maity1y, Sang Chan Lee, Linhan Hu, Deborah Bell-Pedersen, Bani K. Mallick and Tapasree Roy Sarkar
Nonparametric, tuning-free estimation of S-shaped functions
By: O. Feng, Y. Chen, AQ Han, R Carroll, R. Samworth
