3 papers
stat.ML2026
The Cost of Learning Under Multiple Change Points
Tomer Gafni, Garud Iyengar, Assaf Zeevi
We consider an online learning problem in environments with multiple change points. In contrast to the single change point problem that is widely studied using classical "high conf…
cs.CV2025
Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
Tomer Gafni, Asaf Karnieli, Yair Hanani
Deep neural networks have achieved state-of-the-art results in a wide range of applications, from natural language processing and computer vision to speech recognition. However, as…
stat.ML2024
Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model
Liad Lea Didi, Tomer Gafni, Kobi Cohen
We address the problem of searching for a change point in an anomalous process among a finite set of M processes. Specifically, we address a composite hypothesis model in which eac…