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08/05/2023
Structured Low-Rank Tensors for Generalized Linear Models
Recent works have shown that imposing tensor structures on the coefficie...
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05/13/2022
The Capacity of Causal Adversarial Channels
We characterize the capacity for the discrete-time arbitrarily varying c...
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02/15/2022
Low-Rank Phase Retrieval with Structured Tensor Models
We study the low-rank phase retrieval problem, where the objective is to...
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11/29/2021
Network Traffic Shaping for Enhancing Privacy in IoT Systems
Motivated by privacy issues caused by inference attacks on user activiti...
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05/31/2021
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
This paper considers the problem of matrix-variate logistic regression. ...
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06/11/2020
Best-Arm Identification for Quantile Bandits with Privacy
We study the best-arm identification problem in multi-armed bandits with...
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10/28/2019
Improved Differentially Private Decentralized Source Separation for fMRI Data
Blind source separation algorithms such as independent component analysi...
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09/20/2019
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions
We provide high probability sample complexity guarantees for non-paramet...
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08/22/2019
Coordination Through Shared Randomness
We study a distributed sampling problem where a set of processors want t...
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04/22/2019
Distributed Differentially Private Computation of Functions with Correlated Noise
Many applications of machine learning, such as human health research, in...
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03/22/2019
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
This work addresses the problem of learning sparse representations of te...
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12/11/2018
Predictive Learning on Hidden Tree-Structured Ising Models
We provide high-probability sample complexity guarantees for exact struc...
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12/11/2018
Predictive Learning on Sign-Valued Hidden Markov Trees
We provide high-probability sample complexity guarantees for exact struc...
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05/08/2018
Quadratically Constrained Channels with Causal Adversaries
We consider the problem of communication over a channel with a causal ja...
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05/08/2018
Coordination Using Individually Shared Randomness
Two processors output correlated sequences using the help of a coordinat...
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04/26/2018
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
In many signal processing and machine learning applications, datasets co...
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12/10/2017
Identifiability of Kronecker-structured Dictionaries for Tensor Data
This paper derives sufficient conditions for reliable recovery of coordi...
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11/13/2017
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
In recent years, a class of dictionaries have been proposed for multidim...
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05/28/2017
A Unified Optimization Approach for Sparse Tensor Operations on GPUs
Sparse tensors appear in many large-scale applications with multidimensi...
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05/17/2016
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Dictionary learning is the problem of estimating the collection of atomi...
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02/10/2016
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
This paper presents a new approach, called perturb-max, for high-dimensi...
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07/12/2012
Near-Optimal Algorithms for Differentially-Private Principal Components
Principal components analysis (PCA) is a standard tool for identifying g...
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12/01/2009