Upfal, Eli

17 publications

AISTATS 2025 An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto, Reza Esfandiarpoor, Akash Singirikonda, Eli Upfal, Stephen Bach

ALT 2025 Center-Based Approximation of a Drifting Distribution Alessio Mazzetto, Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci, Eli Upfal

ECML-PKDD 2025 DiNgHy: Null Models for Non-Degenerate Directed Hypergraphs Maryam Abuissa, Matteo Riondato, Eli Upfal

NeurIPS 2023 An Adaptive Algorithm for Learning with Unknown Distribution Drift Alessio Mazzetto, Eli Upfal

ICML 2023 Nonparametric Density Estimation Under Distribution Drift Alessio Mazzetto, Eli Upfal

NeurIPS 2022 Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen Bach

AISTATS 2021 Semi-Supervised Aggregation of Dependent Weak Supervision Sources with Performance Guarantees Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen Bach

ICML 2021 Adversarial Multi Class Learning Under Weak Supervision with Performance Guarantees Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H Bach, Eli Upfal

NeurIPS 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal

AAAI 2016 Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin

ECML-PKDD 2012 Efficient Discovery of Association Rules and Frequent Itemsets Through Sampling with Tight Performance Guarantees Matteo Riondato, Eli Upfal

ECML-PKDD 2011 The VC-Dimension of SQL Queries and Selectivity Estimation Through Sampling Matteo Riondato, Mert Akdere, Ugur Çetintemel, Stanley B. Zdonik, Eli Upfal

COLT 2008 Adapting to a Changing Environment: The Brownian Restless Bandits Aleksandrs Slivkins, Eli Upfal

NeurIPS 2008 Mortal Multi-Armed Bandits Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal

AAAI 2007 Propagating Knapsack Constraints in Sublinear Time Irit Katriel, Meinolf Sellmann, Eli Upfal, Pascal Van Hentenryck

UAI 2001 A Clustering Approach to Solving Large Stochastic Matching Problems Milos Hauskrecht, Eli Upfal

IJCAI 1999 Computing near Optimal Strategies for Stochastic Investment Planning Problems Milos Hauskrecht, Gopal Pandurangan, Eli Upfal