b'Tara Javidi'

Adaptive Sampling for Minimax Fair Classification

Machine learning models trained on imbalanced datasets can often end up ...
03/01/2021 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach

The problem of adaptive sampling for estimating probability mass functio...
12/08/2020 ∙ by Dhruva Kartik, et al. ∙ 0 ∙ share

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Causal Posterior Matching and its Applications

We consider the problem of communication over the binary symmetric chann...
12/07/2020 ∙ by Anusha Lalitha, et al. ∙ 0 ∙ share

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On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests

We examine a new class of channel coding strategies, and hypothesis test...
11/30/2020 ∙ by Anusha Lalitha, et al. ∙ 0 ∙ share

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CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

We propose CLEANN, the first end-to-end framework that enables online mi...
09/04/2020 ∙ by Mojan Javaheripi, et al. ∙ 20 ∙ share

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Low Complexity Sequential Search with Measurement Dependent Noise

This paper considers a target localization problem where at any given ti...
05/15/2020 ∙ by Sung-En Chiu, et al. ∙ 0 ∙ share

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Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS

We aim to optimize a black-box function f:XR under the assumption that f...
05/11/2020 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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GeneCAI: Genetic Evolution for Acquiring Compact AI

In the contemporary big data realm, Deep Neural Networks (DNNs) are evol...
04/08/2020 ∙ by Mojan Javaheripi, et al. ∙ 0 ∙ share

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Sequential Learning of CSI for MmWave Initial Alignment

MmWave communications aim to meet the demand for higher data rates by us...
12/29/2019 ∙ by Nancy Ronquillo, et al. ∙ 0 ∙ share

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Advances and Open Problems in Federated Learning

Federated learning (FL) is a machine learning setting where many clients...
12/10/2019 ∙ by Peter Kairouz, et al. ∙ 33 ∙ share

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ASCAI: Adaptive Sampling for acquiring Compact AI

This paper introduces ASCAI, a novel adaptive sampling methodology that ...
11/15/2019 ∙ by Mojan Javaheripi, et al. ∙ 0 ∙ share

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Adaptive Sampling for Estimating Multiple Probability Distributions

We consider the problem of allocating samples to a finite set of discret...
10/28/2019 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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Active Learning for Binary Classification with Abstention

We construct and analyze active learning algorithms for the problem of b...
06/01/2019 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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The Label Complexity of Active Learning from Observational Data

Counterfactual learning from observational data involves learning a clas...
05/29/2019 ∙ by Songbai Yan, et al. ∙ 0 ∙ share

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Decentralized Bayesian Learning over Graphs

We propose a decentralized learning algorithm over a general social netw...
05/24/2019 ∙ by Anusha Lalitha, et al. ∙ 0 ∙ share

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Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning

Partially annotated clips contain rich temporal contexts that can comple...
05/24/2019 ∙ by Yongxi Lu, et al. ∙ 0 ∙ share

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Binary Classification with Bounded Abstention Rate

We consider the problem of binary classification with abstention in the ...
05/23/2019 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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Multiscale Gaussian Process Level Set Estimation

In this paper, the problem of estimating the level set of a black-box fu...
02/26/2019 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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Peer-to-peer Federated Learning on Graphs

We consider the problem of training a machine learning model over a netw...
01/31/2019 ∙ by Anusha Lalitha, et al. ∙ 0 ∙ share

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Active Learning and CSI acquisition for mmWave Initial Alignment

Millimeter wave (mmWave) communication with large antenna arrays is a pr...
12/19/2018 ∙ by Sung-En Chiu, et al. ∙ 0 ∙ share

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SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

Unsupervised learning for visual perception of 3D geometry is of great i...
12/13/2018 ∙ by Yue Meng, et al. ∙ 10 ∙ share

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Efficient Video Understanding via Layered Multi Frame-Rate Analysis

One of the greatest challenges in the design of a real-time perception s...
11/24/2018 ∙ by Ziyao Tang, et al. ∙ 0 ∙ share

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Authentication of cyber-physical systems under learning-based attacks

The problem of attacking and authenticating cyber-physical systems is co...
09/17/2018 ∙ by Mohammad Javad Khojasteh, et al. ∙ 0 ∙ share

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Active Learning with Logged Data

We consider active learning with logged data, where labeled examples are...
02/25/2018 ∙ by Songbai Yan, et al. ∙ 0 ∙ share

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Dynamic Cloud Network Control under Reconfiguration Delay and Cost

Network virtualization and programmability allow operators to deploy a w...
02/19/2018 ∙ by Chang-Heng Wang, et al. ∙ 0 ∙ share

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Improved Target Acquisition Rates with Feedback Codes

This paper considers the problem of acquiring an unknown target location...
12/15/2017 ∙ by Anusha Lalitha, et al. ∙ 0 ∙ share

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Gaussian Process bandits with adaptive discretization

In this paper, the problem of maximizing a black-box function f:X→R is s...
12/05/2017 ∙ by Shubhanshu Shekhar, et al. ∙ 0 ∙ share

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CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning

This paper proposes CuRTAIL, an end-to-end computing framework for chara...
09/08/2017 ∙ by Bita Darvish Rouhani, et al. ∙ 0 ∙ share

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Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Multi-task learning aims to improve generalization performance of multip...
11/16/2016 ∙ by Yongxi Lu, et al. ∙ 0 ∙ share

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Active Learning from Imperfect Labelers

We study active learning where the labeler can not only return incorrect...
10/30/2016 ∙ by Songbai Yan, et al. ∙ 0 ∙ share

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Adaptive Object Detection Using Adjacency and Zoom Prediction

State-of-the-art object detection systems rely on an accurate set of reg...
12/24/2015 ∙ by Yongxi Lu, et al. ∙ 0 ∙ share

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Efficient Object Detection for High Resolution Images

Efficient generation of high-quality object proposals is an essential st...
10/05/2015 ∙ by Yongxi Lu, et al. ∙ 0 ∙ share

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Tara Javidi

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