Amr Ahmed

22 papers · 2010–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🏃 Academic Marathon (15) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (33) 👥 Mega-Team (20) 🏆 Grand Slam 🚀 Conference Pioneer ⚡ Prolific Year (5) 🗃️ Keyword Collector (69) 💎 Century Club (22) 🔥 Unstoppable (5)

Conferences

AISTATS (4) NIPS (4) EMNLP (3) ICLR (3) ICML (3) AAAI (1) IJCAI (1) JMLR (1) OSDI (1) UAI (1)

Top co-authors

Manzil Zaheer (9) Kumar Avinava Dubey (7) Nicholas Monath (6) Snigdha Chaturvedi (4) Somnath Basu Roy Chowdhury (4) Eric Xing (3) Rahul Kidambi (3) Andrew McCallum (2) Joey Hong (2) Alexander J. Smola (2)

Keywords

clustering algorithm (2) contextual bandit (2) hierarchical clustering (2) unsupervised learning (2) regret bound (2) latent state (2) metric learning (1) latent dirichlet allocation (1) sequence modeling (1) statistical modeling (1) variational inference (1) question answering (1) extractive summarization (1) opinion summarization (1) representation learning (1) hierarchical bayesian (1) policy optimization (1) conditional generation (1) exponential family (1) text summarization (1)

Papers

Fundamental Limits of Perfect Concept Erasure AISTATS 2025

Linear Transformer Topological Masking with Graph Random Features ICLR 2025

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests ICLR 2024

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024

Robust Concept Erasure via Kernelized Rate-Distortion Maximization NIPS 2023

Unsupervised Opinion Summarization Using Approximate Geodesics EMNLP 2023

Exact and approximate hierarchical clustering using A* UAI 2021

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes AAAI 2021

Non-Stationary Off-Policy Optimization AISTATS 2021

DAG-Structured Clustering by Nearest Neighbors AISTATS 2021

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies ICLR 2021

Big Bird: Transformers for Longer Sequences NIPS 2020

Latent Bandits Revisited NIPS 2020

Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data ICML 2017

Canopy Fast Sampling with Cover Trees ICML 2017

Scaling Distributed Machine Learning with the Parameter Server OSDI 2014

Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling ICML 2013

Scalable Dynamic Nonparametric Bayesian Models of Content and Users IJCAI 2013

MedLDA: Maximum Margin Supervised Topic Models JMLR 2012

FastEx: Hash Clustering with Exponential Families NIPS 2012

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text AISTATS 2011

Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective EMNLP 2010