Ahmed, Amr

27 publications

AISTATS 2025 Fundamental Limits of Perfect Concept Erasure Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi

ICLR 2025 Linear Transformer Topological Masking with Graph Random Features Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski

NeurIPSW 2024 Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Avinava Dubey, Alexandre Rame, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Leonard Hussenot, Olivier Bachem, Edouard Leurent

ICLR 2024 Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

TMLR 2024 Incremental Extractive Opinion Summarization Using Cover Trees Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi

NeurIPS 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

AISTATS 2021 DAG-Structured Clustering by Nearest Neighbors Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum

AISTATS 2021 Non-Stationary Off-Policy Optimization Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed

ICLR 2021 Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed

UAI 2021 Exact and Approximate Hierarchical Clustering Using A* Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

AAAI 2021 Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed

NeurIPS 2020 Big Bird: Transformers for Longer Sequences Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

NeurIPS 2020 Latent Bandits Revisited Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier

ICML 2017 Canopy Fast Sampling with Cover Trees Manzil Zaheer, Satwik Kottur, Amr Ahmed, José Moura, Alex Smola

ICLR 2017 Joint Training of Ratings and Reviews with Recurrent Recommender Networks Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola

ICML 2017 Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data Manzil Zaheer, Amr Ahmed, Alexander J. Smola

ICML 2013 Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling Amr Ahmed, Liangjie Hong, Alexander Smola

IJCAI 2013 Scalable Dynamic Nonparametric Bayesian Models of Content and Users Amr Ahmed, Eric P. Xing

NeurIPS 2012 FastEx: Hash Clustering with Exponential Families Amr Ahmed, Sujith Ravi, Alex J. Smola, Shravan M. Narayanamurthy

UAI 2012 Hokusai - Sketching Streams in Real Time Sergiy Matusevych, Alexander J. Smola, Amr Ahmed

JMLR 2012 MedLDA: Maximum Margin Supervised Topic Models Jun Zhu, Amr Ahmed, Eric P. Xing

AISTATS 2011 Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alex Smola, Eric Xing

ICML 2011 Sparse Additive Generative Models of Text Jacob Eisenstein, Amr Ahmed, Eric P. Xing

UAI 2010 Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream Amr Ahmed, Eric P. Xing

ICML 2009 MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification Jun Zhu, Amr Ahmed, Eric P. Xing

ECCV 2008 Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing

AISTATS 2007 Seeking the Truly Correlated Topic Posterior - On Tight Approximate Inference of Logistic-Normal Admixture Model Amr Ahmed, Eric P. Xing