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stat.ML2026
Linear Regression with Unknown Truncation Beyond Gaussian Features
Alexandros Kouridakis, Anay Mehrotra, Alkis Kalavasis +1
In truncated linear regression, samples are shown only when the outcome falls inside a certain survival set and the goal is to estimate the unknown -dimens…
stat.ML2025
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases
Alkis Kalavasis, Anay Mehrotra, Felix Zhou
We revisit the problem of estimating linear regressors with self-selection bias in dimensions with the maximum selection criterion, as introduced by Cherapanamjeri, Daskala…
stat.ML2025
DDPM Score Matching and Distribution Learning
Sinho Chewi, Alkis Kalavasis, Anay Mehrotra +1
Score estimation is the backbone of score-based generative models (SGMs), especially denoising diffusion probabilistic models (DDPMs). A key result in this area shows that with acc…