Local Pan-Privacy for Federated Analytics
Pan-privacy was proposed by Dwork et al. (2010) as an approach to designing a private analytics system that retains its privacy properties in...
Mechanisms of Projective Composition of Diffusion Models
We study the theoretical foundations of composition in diffusion models, with a particular focus on out-of-distribution extrapolation and length-generalization. Prior work has shown...
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
We study differentially private (DP) optimization algorithms for stochastic and empirical objectives which are neither smooth nor convex, and propose methods that return...
An LLM-Based Approach to Review Summarization on the App Store
Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how others have experienced...
How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions
As statistical analyses become more central to science, industry and society, there is a growing need to ensure correctness of their results. Approximate...
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Diffusion Language Models (DLMs) have emerged as a promising new paradigm for text generative modeling, potentially addressing limitations of autoregressive (AR) models. However,...
ACM Human-Computer Interaction Conference (CHI) 2025
Apple is presenting new research at the ACM annual conference on Human-Computer Interaction (CHI), which takes place in person in Yokohama, Japan, from...
Apple Machine Learning Research at ICLR 2025
Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this technology and helps to...
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization
Direct Preference Optimization (DPO) has been widely adopted for preference alignment of Large Language Models (LLMs) due to its simplicity and effectiveness. However,...
International Conference on Learning Representations (ICLR) 2025
International Conference on Learning Representations (ICLR) 2025
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