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T. Javidi

64 papers hereh-index 3413.8k citations227 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author22
  • last author40

Across the 62 of 64 papers where every author was matched, so the position is known.

fields
  • cs.IT16
  • cs.LG16
  • stat.ML7
  • cs.CV6
  • cs.NI5
  • math.OC5
same name
  • T. Javidi — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082024
most citedOptimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

257 citations · 1.4k across the 55 of their papers we have counts for

collaborators
Showing 2019 · stat.MLShow all

4 papers · 2 filters

stat.ML2019

Adaptive Sampling for Estimating Multiple Probability Distributions

Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh

We consider the problem of allocating samples to a finite set of discrete distributions in order to learn them uniformly well in terms of four common distance measures: ℓ22​,…

stat.ML2019★ 25 cited

Decentralized Bayesian Learning over Graphs

Anusha Lalitha, Xinghan Wang, Osman Kilinc +3

We propose a decentralized learning algorithm over a general social network. The algorithm leaves the training data distributed on the mobile devices while utilizing a peer to peer…

stat.ML2019

The Label Complexity of Active Learning from Observational Data

Songbai Yan, Kamalika Chaudhuri, Tara Javidi

Counterfactual learning from observational data involves learning a classifier on an entire population based on data that is observed conditioned on a selection policy. This work c…

stat.ML2019★ 2 cited

Multiscale Gaussian Process Level Set Estimation

Shubhanshu Shekhar, Tara Javidi

In this paper, the problem of estimating the level set of a black-box function from noisy and expensive evaluation queries is considered. A new algorithm for this problem in the Ba…

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