Tara Javidi

Q: What Schools Are Affiliated With Tara Javidi

Tara Javidi is affiliated with the following schools: University of California, Berkeley, University of Michigan, University of California, San Diego, Sharif University of Technology, Stanford University

Tara Javidi's AcademicInfluence.com Rankings

Tara Javidi

Computer Science

#4194

World Rank

#4414

Historical Rank

Information Theory

#38

World Rank

#39

Historical Rank

Machine Learning

#2522

World Rank

#2555

Historical Rank

Database

#7748

World Rank

#8055

Historical Rank

computer-science Degrees

Tara Javidi

Engineering

#3642

World Rank

#4750

Historical Rank

Electrical Engineering

#1389

World Rank

#1482

Historical Rank

engineering Degrees

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Computer Science
Engineering

Tara Javidi's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering Sharif University of Technology

Why Is Tara Javidi Influential?

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According to Wikipedia, Tara Javidi is an Iranian electrical engineer and computer scientist who studies networked information, stochastic control, machine learning, hypothesis testing, network optimization, and network routing, among other topics. She is a professor of electrical and computer engineering at the University of California, San Diego, where she co-directs the Center for Machine-Integrated Computing and Security with Farinaz Koushanfar.

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Tara Javidi's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Advances and Open Problems in Federated Learning (2019) (2826)
Optimality of Myopic Sensing in Multichannel Opportunistic Access (2009) (362)
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification (2016) (293)
Active Sequential Hypothesis Testing (2012) (211)
A Field Guide to Federated Optimization (2021) (195)
Optimality of Myopic Sensing in Multi-Channel Opportunistic Access (2008) (169)
A high-throughput scheduling algorithm for a buffered crossbar switch fabric (2001) (164)
Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks (2015) (138)
Social learning and distributed hypothesis testing (2014) (130)
Wiretap Channel With Secure Rate-Limited Feedback (2009) (121)
Peer-to-peer Federated Learning on Graphs (2019) (114)
Adaptive Opportunistic Routing for Wireless Ad Hoc Networks (2012) (81)
Adaptive Object Detection Using Adjacency and Zoom Prediction (2015) (64)
High-Throughput Wastewater SARS-CoV-2 Detection Enables Forecasting of Community Infection Dynamics in San Diego County (2020) (62)
Extrinsic Jensen–Shannon Divergence: Applications to Variable-Length Coding (2013) (61)
Active Learning and CSI Acquisition for mmWave Initial Alignment (2018) (61)
Delay-Optimal Server Allocation in Multiqueue Multiserver Systems With Time-Varying Connectivities (2009) (57)
Integration of communication and control using discrete time Kuramoto models for multivehicle coordination over broadcast networks (2007) (57)
Sequentiality and Adaptivity Gains in Active Hypothesis Testing (2012) (52)
Network Coding Games with Unicast Flows (2008) (47)
Active Learning from Imperfect Labelers (2016) (47)
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception (2018) (46)
Towards Throughput and Delay Optimal Routing for Wireless Ad-Hoc Networks (2007) (44)
Gaussian Process bandits with adaptive discretization (2017) (43)
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning (2017) (41)
Active M-ary sequential hypothesis testing (2010) (40)
Optimized path planning for electric vehicle routing and charging (2014) (40)
Safe Machine Learning and Defeating Adversarial Attacks (2018) (39)
A General Class of Throughput Optimal Routing Policies in Multi-Hop Wireless Networks (2009) (37)
Opportunistic Routing with Congestion Diversity in Wireless Multi-hop Networks (2010) (37)
Subcarrier allocation in OFDMA systems: beyond water-filling (2004) (36)
Resource Allocation in OFDMA with Time-Varying Channel and Bursty Arrivals (2007) (36)
A delay-minimizing routing strategy for wireless multi-hop networks (2009) (35)
Distributed Link Scheduling, Power Control and Routing for Multi-hop Wireless MIMO Networks (2006) (35)
A fresh look at optimal subcarrier allocation in OFDMA systems (2004) (34)
End-to-end scheduling for all-optical data centers (2015) (30)
Decentralized Rate Assignments in a Multi-Sector CDMA Network (2003) (30)
Extrinsic Jensen-Shannon divergence with application in active hypothesis testing (2012) (26)
Delay Optimal Transmission Policy in a Wireless Multiaccess Channel (2008) (26)
Linear-Feedback Sum-Capacity for Gaussian Multiple Access Channels (2012) (25)
CleaNN: Accelerated Trojan Shield for Embedded Neural Networks (2020) (24)
An adaptive opportunistic routing scheme for wireless ad-hoc networks (2009) (24)
Active Learning with Logged Data (2018) (24)
Noisy Bayesian active learning (2013) (23)
High-SNR Analysis of Outage-Limited Communications With Bursty and Delay-Limited Information (2008) (22)
Sequential measurement-dependent noisy search (2016) (22)
Information utility in active sequential hypothesis testing (2010) (21)
Adaptive Policies for Scheduling With Reconfiguration Delay: An End-to-End Solution for All-Optical Data Centers (2015) (20)
Pricing and QoS in Wireless Random Access Networks (2008) (20)
Leveraging Downlink for Efficient Uplink Allocation in a Single-Hop Wireless Network (2007) (20)
Rate Stable Resource Allocation in OFDM Systems: From Waterfilling to Queue-Balancing (2004) (19)
Searching With Measurement Dependent Noise (2014) (19)
Dynamic joint source-Channel coding with feedback (2013) (18)
Performance bounds for active sequential hypothesis testing (2011) (16)
Decentralized and fair rate control in a multisector CDMA system (2004) (16)
Bayesian Active Learning With Non-Persistent Noise (2015) (16)
Improved Target Acquisition Rates With Feedback Codes (2017) (15)
Decentralized Bayesian Learning over Graphs (2019) (15)
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS (2020) (14)
Resource Allocation in OFDMA: How Load-Balancing Maximizes Throughput When Water-Filling Fails (2004) (14)
CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning (2017) (14)
Sensitivity analysis for an optimal routing policy in an ad hoc wireless network (2004) (14)
Distributed Learning of Distributions via Social Sampling (2013) (13)
Cross-layer (MAC and transport) optimal rate assignment in CDMA-based wireless broadband networks (2004) (13)
The Impact of MAC Buffer Size on the Throughput Performance of IEEE 802.11 (2008) (13)
Multiscale Gaussian Process Level Set Estimation (2019) (13)
Optimal reliability over a class of binary-input channels with feedback (2012) (12)
Learning-Based Attacks in Cyber-Physical Systems (2018) (12)
Dynamic Cloud Network Control Under Reconfiguration Delay and Cost (2018) (12)
Active learning from noisy and abstention feedback (2015) (12)
Adaptive Sampling for Minimax Fair Classification (2021) (12)
Heavy traffic queue length behavior in switches with reconfiguration delay (2017) (12)
Searching for multiple targets with measurement dependent noise (2015) (12)
An approach to connection admission control in single-hop multiservice wireless networks with QoS requirements (2003) (12)
Open Problem: Tight Online Confidence Intervals for RKHS Elements (2021) (11)
Two-dimensional visual search (2013) (11)
Reliability of sequential hypothesis testing can be achieved by an almost-fixed-length test (2016) (11)
Benefits of Storage Control for Wind Power Producers in Power Markets (2016) (11)
Opportunistic routing under unknown stochastic models (2013) (11)
Optimal code length for bursty sources with deadlines (2009) (11)
System identification from partial samples: Non-asymptotic analysis (2016) (10)
Scheduling Data Delivery in Heterogeneous Wireless Sensor Networks (2006) (10)
Optimality of myopic policy for a class of monotone affine restless multi-armed bandits (2012) (10)
On the Responsiveness-Diversity-Multiplexing Tradeoff (2007) (10)
Achieving congestion diversity in wireless ad-hoc networks (2011) (10)
Decentralized rate assignments in a multi-sector CDMA network (2003) (10)
Opinion dynamics and distributed learning of distributions (2011) (10)
Distributed Rate Assignments for Simultaneous Interference and Congestion Control in CDMA-Based Wireless Networks (2008) (9)
Active Learning for Classification with Abstention (2020) (9)
Estimation in autoregressive processes with partial observations (2017) (9)
Measurement dependent noisy search: The Gaussian case (2017) (9)
Opportunistic Routing With Congestion Diversity in Wireless Ad Hoc Networks (2012) (9)
Scheduling for multi-channel wireless networks: Small delay with polynomial complexity (2011) (9)
Active hypothesis testing: Sequentiality and adaptivity gains (2012) (8)
Opportunistic routing with congestion diversity and tunable overhead (2010) (8)
Optimal operating point for MIMO multiple access channel with bursty traffic (2007) (8)
Authentication of cyber-physical systems under learning-based attacks (2018) (8)
Sensitivity analysis of an optimal routing policy in an ad hoc wireless network (2002) (8)
Incentive Compatible MAC-Layer QoS Design (2008) (8)
No Regret Routing for ad-hoc wireless networks (2010) (8)
Many-Sources Large Deviations for Max-Weight Scheduling (2008) (8)
Linear sum capacity for Gaussian multiple access channel with feedback (2010) (8)
Delay analysis of block coding over a noisy channel with limited feedback (2008) (8)
Sequential Learning of CSI for MmWave Initial Alignment (2019) (8)
Towards Safe Deep Learning: Unsupervised Defense Against Generic Adversarial Attacks (2018) (8)
Efficient object detection for high resolution images (2015) (7)
The Label Complexity of Active Learning from Observational Data (2019) (7)
Optimal Operating Point in MIMO Channel for Delay-Sensitive and Bursty Traffic (2006) (7)
GeneCAI: genetic evolution for acquiring compact AI (2020) (7)
EXPECTED MAKESPAN MINIMIZATION ON IDENTICAL MACHINES IN TWO INTERCONNECTED QUEUES (2001) (7)
Multiband noisy spectrum sensing with codebooks (2016) (6)
The Secrecy Capacity of the Wiretap Channel with Rate-limited Feedback (2009) (6)
Network Coding for Resource Redistribution in a Unicast Network (2007) (6)
Joint Management of Electric Vehicles in Coupled Power and Transportation Networks (2015) (6)
Value of storage for wind power producers in forward power markets (2015) (6)
Relay Scheduling and Cooperative Diversity for Delay-Sensitive and Bursty Traffic (2007) (6)
Cooperative Diversity in Wireless Networks with Stochastic and Bursty Traffic (2007) (6)
Significance of Gradient Information in Bayesian Optimization (2021) (6)
Adaptive Sampling for Estimating Probability Distributions (2020) (6)
Opportunistic Routing in Wireless Networks (2016) (6)
Target Localization with Drones using Mobile CNNs (2018) (6)
WiCOD: Wireless control plane serving an all-optical data center (2015) (6)
Information acquisition and sequential belief refinement (2016) (5)
Wiretap channel with rate-limited feedback (2008) (5)
A Wireless Vehicle-based mobile network infrastructure designed for smarter cities (2019) (5)
Iterative re-weighted approach to high-resolution optical coherence tomography with narrow-band sources. (2016) (5)
Learning via active hypothesis testing over networks (2017) (5)
Variable-length coding with noiseless feedback and finite messages (2010) (5)
Low Complexity Sequential Search With Size-Dependent Measurement Noise (2020) (5)
Real-time Binary Posterior Matching (2019) (5)
Guest Editorial Control and Communications (2008) (5)
Binary Classification with Bounded Abstention Rate (2019) (5)
End-to-End and Mac-Layer Fair Rate Assignment in Interference Limited Wireless Access Networks (2006) (5)
Percentile Policies for Tracking of Markovian Random Processes with Asymmetric Cost and Observation (2017) (5)
Trojan Signatures in DNN Weights (2021) (5)
Bayesian congestion control over a Markovian network bandwidth process (2013) (4)
DeepFense (2018) (4)
Active Learning for Binary Classification with Abstention (2019) (4)
Large deviation analysis for learning rate in distributed hypothesis testing (2015) (4)
Tracking of real-valued Markovian random processes with asymmetric cost and observation (2015) (4)
From Connected Vehicles to Mobile Relays: Enhanced Wireless Infrastructure for Smarter Cities (2016) (4)
Fundamental estimation limits in autoregressive processes with compressive measurements (2017) (4)
Cooperative diversity schemes for asynchronous wireless networks (2007) (4)
Achieving Congestion Diversity in Multi-Hop Wireless Mesh Networks (2012) (4)
Distributed learning from social sampling (2012) (4)
Cooperative and Non-Cooperative Resource Sharing in Networks: A Delay Perspective (2008) (4)
Optimal reliability over a DMC with feedback via deterministic sequential coding (2012) (4)
An energy-efficient multi-sensor scheduling mechanism with QoS support for WBANs (2014) (3)
Searching with measurement dependent noise (2014) (3)
Telemedicine + OCT: toward design of optimized algorithms for high-quality compressed images (2014) (3)
Exploring and exploiting routing opportunities in wireless ad-hoc networks (2009) (3)
A game-theoretic approach to coding for information networks (2008) (3)
AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs (2020) (3)
Bit-wise Sequential Coding with Feedback (2018) (3)
Bounded stability in networked systems with parameter mismatch and adaptive decentralized estimation (2015) (3)
WLC03-5: Leveraging Downlink for Regulation of Distributed Uplink CDMA (2006) (3)
From Saturation to Non-Saturation : A Study on 802 . 11 Networks (2005) (3)
Saturation Rate in 802 . 11 Revisited (2005) (3)
On the rate of learning in distributed hypothesis testing (2015) (3)
Social Learning and Distributed Hypothesis Testing (2018) (3)
Rate Assignment in Micro-Buffered High Speed Networks (2005) (2)
ASCAI: Adaptive Sampling for acquiring Compact AI (2019) (2)
Reliable Shortest Path Routing with Applications to Wireless Software-Defined Networking (2018) (2)
Distributed Optimal Rate Assignments for CDMA-Based Wireless Networks (2004) (2)
Estimation in Autoregressive Processes with Partial Observations : Proofs (2016) (2)
Extrinsic Jensen-Shannon divergence and noisy Bayesian active learning (2013) (2)
Jointly Optimal MAC and Transport Layers in CDMA Broadband Networks (2005) (2)
On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests (2020) (2)
A class of throughput optimal routing policies (2010) (2)
Active Learning for Classification With Abstention (2021) (1)
Fundamental Estimation in Autoregressive Processes with Compressive Measurements : Proofs (2017) (1)
Cooperation and Resource Sharing in Data Networks : A Delay Perspective (2006) (1)
Information Acquisition and Utilization Problems (2013) (1)
Leveraging Downlink for Optimal Uplink Rate Allocation: An Incentive Compatible Approach (2006) (1)
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs (2022) (1)
Decentralized Competing Bandits in Non-Stationary Matching Markets (2022) (1)
Mobile Relays for Smart Cities: Mathematical Proofs (2016) (1)
Active Beam Tracking Under Stochastic Mobility (2021) (1)
A simple and scalable algorithm for alignment in broadcast networks (2010) (1)
Network Coding for Unicast : Exploiting Multicast Subgraphs to Achieve Capacity in 2-User Networks (2007) (1)
Leveraging Downlink for Regulation of Distributed (2006) (1)
Decentralized Asynchronous Non-convex Stochastic Optimization on Directed Graphs (2021) (1)
Causal Posterior Matching and its Applications (2020) (1)
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo (2021) (1)
A novel data center network architecture with zero in-network queuing (2015) (1)
System Identification from Partial Samples : Proofs (2016) (1)
Adaptive Sampling for Estimating Multiple Probability Distributions (2019) (1)
Optimal resource allocation: Issues and applications. (2002) (0)
Resource Allocation in OFDMA Wireless Networks with Time-Varying Arrivals (2005) (0)
On Pricing Methods to Address Preference Revelation and Distributed Control in Random Access Networks (2007) (0)
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning (2019) (0)
Contextual Shortest Path with Unknown Context Distributions (2021) (0)
Low Complexity Sequential Search with Measurement Dependent Noise (2020) (0)
Rate-reliability tradeoff in two-dimensional visual search (2013) (0)
Stochastic Optimization and Its Applications in Multihop Wireless MIMO Networks (2008) (0)
Hyperdimensional Computing and Spectral Learning (2021) (0)
CleaNN (2020) (0)
Bayesian function optimization with adaptive discretization (2017) (0)
Measurement Dependent Noisy Search with Stochastic Coefficients (2020) (0)
Proxy-Layer Scheduling in Heterogeneous Wireless Sensor Networks (2006) (0)
Optimal Rate Assignments for CDMA-Based Wireless Networks (2004) (0)
Improved Regret Bounds Agnostic GP Bandits Improved Regret Bounds for Agnostic Gaussian Process Bandits using Local Polynomial Estimators (2020) (0)
GeneCAI (2020) (0)
Learning-based Attacks in Cyber-Physical Systems : The Scalar Case ? (2019) (0)
Efficient Video Understanding via Layered Multi Frame-Rate Analysis (2018) (0)
Synchronization in Networked Systems with Parameter Mismatch: Adaptive Decentralized and Distributed Controls (2016) (0)
On the sum capacity of the Gaussian multiple access channel with feedback (2009) (0)
Communicating Bursty and Delay-sensitive Information over Outage-Limited Channels (2008) (0)
Information acquisition, controlled sensing, and active hypothesis testing (2014) (0)
Alternative techniques for high-resolution spectral estimation of spectrally encoded endoscopy (2015) (0)
Heavy traffic queue length scaling in switches with reconfiguration delay (2021) (0)
Hierarchical Integrated Communication and Control (2009) (0)
Gaussian estimation under attack uncertainty (2015) (0)
Optimal strategies for dynamic joint source-channel coding with feedback (2014) (0)
A Practical Approach for Achieving Congestion Diversity in Wireless Ad-hoc Networks (2010) (0)
Space-Time Processing for Tactical Mobile Ad Hoc Networks (2010) (0)
Applications of Dynamic Programming in Active Sequential Hypothesis Testing (2010) (0)
Instance-Dependent Regret Analysis of Kernelized Bandits (2022) (0)
Stochastic Networks Conference Titles and Abstracts of Plenary Talks (2016) (0)
Session TP3a: Delay-rate tradeoffs (2008) (0)
Active and Dynamic Beam Tracking UnderStochastic Mobility (2021) (0)
RoXOR: Re-thinking retransmissions in WiFi (2015) (0)
2021 IEEE WIE Committee Members (2020) (0)
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach (2020) (0)
Assured Deep Learning: Practical Defense Against Adversarial Attacks (2018) (0)
Outage-based admission region in multi-class cellular systems (2002) (0)
Joint Scheduling and Rate Control for Self-Configuring Ad-Hoc CDMA Networks (2004) (0)
An Alternative Coding Theorem for Posterior Matching via Extrinsic Jensen–Shannon Divergence (2014) (0)
Modular Design for Optimal Cross-Layer Flow Control in CDMA Networks (2005) (0)
Hardware/Algorithm Codesign for Adversarially Robust Deep Learning (2021) (0)

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What Schools Are Affiliated With Tara Javidi?

Tara Javidi is affiliated with the following schools:

Tara Javidi's Academic­Influence.com Rankings

Tara Javidi's Degrees

Why Is Tara Javidi Influential?

Tara Javidi's Published Works

Published Works

Other Resources About Tara Javidi

What Schools Are Affiliated With Tara Javidi?

Tara Javidi's AcademicInfluence.com Rankings