Albert No
12 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
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Conference Polyglot
(6)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
💎
Century Club
(11)
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Keyword Collector
(50)
🔥
Unstoppable
(5)
Conferences
ICML (4)
EMNLP (2)
NIPS (2)
AAAI (1)
ACL (1)
AISTATS (1)
ECCV (1)
Top co-authors
Research topics
Keywords
machine unlearning
(3)
large language model
(3)
information theory
(3)
differential privacy
(1)
image generation
(1)
conformal prediction
(1)
neural tangent kernel
(1)
language model
(1)
neural network optimization
(1)
low-rank approximation
(1)
mutual information
(1)
model pruning
(1)
communication efficiency
(1)
human feedback
(1)
convolutional neural network
(1)
diffusion model
(1)
preference optimization
(1)
reward model
(1)
generative adversarial network
(1)
neural network compression
(1)
Papers
An Information Theoretic Evaluation Metric for Strong Unlearning
AAAI 2026
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
ACL 2025
SEPS: A Separability Measure for Robust Unlearning in LLMs
EMNLP 2025
R-TOFU: Unlearning in Large Reasoning Models
EMNLP 2025
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
ICML 2025
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
ICML 2024
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
NIPS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NIPS 2023
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
ICML 2022
Prune Your Model before Distill It
ECCV 2022
An Information-Theoretic Justification for Model Pruning
AISTATS 2022
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
ICML 2021