Kareem Amin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
11
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | Private prediction for large-scale synthetic text generation. | Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii |
| 2023 | ICLR | Easy Differentially Private Linear Regression. | Kareem Amin, Matthew Joseph, Mnica Ribero, Sergei Vassilvitskii |
| 2023 | ICML | Learning-augmented private algorithms for multiple quantile release. | Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii |
| 2020 | AISTATS | Understanding the Effects of Batching in Online Active Learning. | Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh |
| 2020 | COLT | Pan-Private Uniformity Testing. | Kareem Amin, Matthew Joseph, Jieming Mao |
| 2020 | INISTA | DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping. | Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel |
| 2019 | ICCBR | Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning. | Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis, Kareem Amin, George Samakovitis, Miltos Petridis |
| 2019 | ICCBR | Workshop preface. | Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie |
| 2019 | ICML | Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy. | Kareem Amin, Alex Kulesza, Andres Muoz Medina, Sergei Vassilvitskii |
| 2019 | ICTAI | Cases without Borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-Based Reasoning. | Kareem Amin |
| 2019 | SGAI | Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows. | Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis |
| 2018 | ICCBR | Answering with Cases: A CBR Approach to Deep Learning. | Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis |
| 2018 | SGAI | Dynamic Process Workflow Routing Using Deep Learning. | Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis |
| 2017 | ICCBR | Building an Integrated CBR-Big Data Oriented Architecture for Case-Based Reasoning Systems. | Kareem Amin |
| 2016 | UAI | Gradient Methods for Stackelberg Games. | Kareem Amin, Michael P. Wellman, Satinder Singh |
| 2015 | AAAI | Online Learning and Profit Maximization from Revealed Preferences. | Kareem Amin, Rachel Cummings, Lili Dworkin, Michael J. Kearns, Aaron Roth |
| 2015 | AAAI | Budgeted Prediction with Expert Advice. | Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak S. Turaga |
| 2014 | ICML | Learning from Contagion (Without Timestamps). | Kareem Amin, Hoda Heidari, Michael J. Kearns |
| 2013 | ICML | Large-Scale Bandit Problems and KWIK Learning. | Jacob D. Abernethy, Kareem Amin, Michael J. Kearns, Moez Draief |
| 2012 | UAI | Budget Optimization for Sponsored Search: Censored Learning in MDPs. | Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer |
| 2011 | UAI | Graphical Models for Bandit Problems. | Kareem Amin, Michael J. Kearns, Umar Syed |