Eli Upfal | DeepAI

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Featured Co-authors

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∙ 06/02/2023

An Adaptive Method for Weak Supervision with Drifting Data

We introduce an adaptive method with formal quality guarantees for weak ...

0 Alessio Mazzetto, et al. ∙

∙ 05/03/2023

An Adaptive Algorithm for Learning with Unknown Distribution Drift

We develop and analyze a general technique for learning with an unknown ...

0 Alessio Mazzetto, et al. ∙

∙ 02/05/2023

Nonparametric Density Estimation under Distribution Drift

We study nonparametric density estimation in non-stationary drift settin...

0 Alessio Mazzetto, et al. ∙

∙ 05/25/2022

Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes

We develop a rigorous mathematical analysis of zero-shot learning with a...

0 Alessio Mazzetto, et al. ∙

∙ 11/15/2021

Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation

Functional connectivity (FC) for quantifying interactions between region...

0 Nathan Tung, et al. ∙

∙ 11/14/2021

Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds

We present a novel method for reducing the computational complexity of r...

0 Shahrzad Haddadan, et al. ∙

∙ 11/22/2020

Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE

The Markov-Chain Monte-Carlo (MCMC) method has been used widely in the l...

0 Cyrus Cousins, et al. ∙

∙ 07/16/2020

Wikipedia's Network Bias on Controversial Topics

The most important feature of Wikipedia is the presence of hyperlinks in...

0 Cristina Menghini, et al. ∙

∙ 10/04/2019

A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis

While standard statistical inference techniques and machine learning gen...

0 Lorenzo De Stefani, et al. ∙

∙ 05/31/2019

Learning Equilibria of Simulation-Based Games

We tackle a fundamental problem in empirical game-theoretic analysis (EG...

0 Enrique Areyan Viqueira, et al. ∙

∙ 02/17/2019

On the Complexity of Anonymous Communication Through Public Networks

Anonymous channels allow users to connect to websites or communicate wit...

0 Megumi Ando, et al. ∙

∙ 12/18/2018

Uniform Convergence Bounds for Codec Selection

We frame the problem of selecting an optimal audio encoding scheme as a ...

0 Clayton Sanford, et al. ∙

∙ 11/01/2018

VizRec: A framework for secure data exploration via visual representation

Visual representations of data (visualizations) are tools of great impor...

0 Lorenzo De Stefani, et al. ∙

∙ 08/24/2018

Unknown Examples & Machine Learning Model Generalization

Over the past decades, researchers and ML practitioners have come up wit...

0 Yeounoh Chung, et al. ∙

∙ 07/08/2018

Machine Learning in High Energy Physics Community White Paper

Machine learning is an important research area in particle physics, begi...

0 Kim Albertsson, et al. ∙

∙ 01/10/2013

A Clustering Approach to Solving Large Stochastic Matching Problems

In this work we focus on efficient heuristics for solving a class of sto...

0 Milos Hauskrecht, et al. ∙

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