Amr Ahmed
22 papers · 2010–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (15) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(33)
π₯
Mega-Team
(20)
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(69)
π
Century Club
(22)
π₯
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
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