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07/16/2023
Optimal Compression of Unit Norm Vectors in the High Distortion Regime
Motivated by the need for communication-efficient distributed learning, ...
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07/09/2023
On the sample complexity of estimation in logistic regression
The logistic regression model is one of the most popular data generation...
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02/06/2023
Optimization using Parallel Gradient Evaluations on Multiple Parameters
We propose a first-order method for convex optimization, where instead o...
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01/17/2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Federated Learning (FL) has gained increasing interest in recent years a...
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10/29/2022
Improved Support Recovery in Universal One-bit Compressed Sensing
One-bit compressed sensing (1bCS) is an extremely quantized signal acqui...
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10/20/2022
An Improved Algorithm for Clustered Federated Learning
In this paper, we address the dichotomy between heterogeneous models and...
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07/07/2022
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing
Compressed sensing has been a very successful high-dimensional signal ac...
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06/22/2022
Community Recovery in the Geometric Block Model
To capture inherent geometric features of many community detection probl...
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05/31/2022
Decentralized Competing Bandits in Non-Stationary Matching Markets
Understanding complex dynamics of two-sided online matching markets, whe...
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05/26/2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
While mixture of linear regressions (MLR) is a well-studied topic, prior...
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02/24/2022
On Learning Mixture Models with Sparse Parameters
Mixture models are widely used to fit complex and multimodal datasets. I...
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10/02/2021
Random Subgraph Detection Using Queries
The planted densest subgraph detection problem refers to the task of tes...
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09/02/2021
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians
Mixtures of high dimensional Gaussian distributions have been studied ex...
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07/19/2021
Support Recovery in Universal One-bit Compressed Sensing
One-bit compressed sensing (1bCS) is an extreme-quantized signal acquisi...
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06/12/2021
Probabilistic Group Testing with a Linear Number of Tests
In probabilistic nonadaptive group testing (PGT), we aim to characterize...
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06/10/2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Recovery of support of a sparse vector from simple measurements is a wid...
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06/04/2021
Fuzzy Clustering with Similarity Queries
The fuzzy or soft k-means objective is a popular generalization of the w...
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03/17/2021
Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience
We study the problem of optimizing a non-convex loss function (with sadd...
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12/09/2020
Session-Aware Query Auto-completion using Extreme Multi-label Ranking
Query auto-completion is a fundamental feature in search engines where t...
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10/22/2020
Recovery of sparse linear classifiers from mixture of responses
In the problem of learning a mixture of linear classifiers, the aim is t...
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06/29/2020
Recovery of Sparse Signals from a Mixture of Linear Samples
Mixture of linear regressions is a popular learning theoretic model that...
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06/24/2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
In modern multilabel classification problems, each data instance belongs...
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06/15/2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers
We develop a distributed second order optimization algorithm that is com...
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02/20/2020
Reliable Distributed Clustering with Redundant Data Assignment
In this paper, we present distributed generalized clustering algorithms ...
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02/05/2020
A workload-adaptive mechanism for linear queries under local differential privacy
We propose a new mechanism to accurately answer a user-provided set of l...
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01/19/2020
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models
We present two different approaches for parameter learning in several mi...
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11/21/2019
Communication-Efficient and Byzantine-Robust Distributed Learning
We develop a communication-efficient distributed learning algorithm that...
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11/18/2019
vqSGD: Vector Quantized Stochastic Gradient Descent
In this work, we present a family of vector quantization schemes vqSGD (...
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10/30/2019
Sample Complexity of Learning Mixtures of Sparse Linear Regressions
In the problem of learning mixtures of linear regressions, the goal is t...
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10/30/2019
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
One-bit compressed sensing (1bCS) is a method of signal acquisition unde...
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10/28/2019
Same-Cluster Querying for Overlapping Clusters
Overlapping clusters are common in models of many practical data-segment...
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04/21/2019
Trace Reconstruction: Generalized and Parameterized
In the beautifully simple-to-state problem of trace reconstruction, the ...
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03/31/2019
Semisupervised Clustering by Queries and Locally Encodable Source Coding
Source coding is the canonical problem of data compression in informatio...
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08/30/2018
Capacity of Locally Recoverable Codes
Motivated by applications in distributed storage, the notion of a locall...
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07/19/2018
Linear Programming Approximations for Index Coding
Index coding, a source coding problem over broadcast channels, has been ...
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06/29/2018
High Dimensional Discrete Integration by Hashing and Optimization
Recently Ermon et al. (2013) pioneered an ingenuous way to practically c...
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05/22/2018
Robust Gradient Descent via Moment Encoding with LDPC Codes
This paper considers the problem of implementing large-scale gradient de...
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04/12/2018
Connectivity in Random Annulus Graphs and the Geometric Block Model
Random geometric graphs are the simplest, and perhaps the earliest possi...
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03/12/2018
Representation Learning and Recovery in the ReLU Model
Rectified linear units, or ReLUs, have become the preferred activation f...
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01/08/2018
Novel Impossibility Results for Group-Testing
In this work we prove non-trivial impossibility results for perhaps the ...
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09/16/2017
The Geometric Block Model
To capture the inherent geometric features of many community detection p...
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06/23/2017
Query Complexity of Clustering with Side Information
Suppose, we are given a set of n elements to be clustered into k (unknow...
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06/22/2017
Clustering with Noisy Queries
In this paper, we initiate a rigorous theoretical study of clustering wi...
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02/03/2017
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution
Entity resolution (ER) is the task of identifying all records in a datab...
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01/28/2017