Matias D. Cattaneo

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Effect of Mini-Batch Noise on the Implicit Bias of Adam.
CoRR
Matias D. Cattaneo, Boris Shigida
2025 J jnl
How Memory in Optimization Algorithms Implicitly Modifies the Loss.
CoRR
Matias D. Cattaneo, Boris Shigida
2025 J jnl
Modified Loss of Momentum Gradient Descent: Fine-Grained Analysis.
CoRR
Matias D. Cattaneo, Boris Shigida
2025 J jnl
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators.
J. Open Source Softw.
Matias D. Cattaneo, Rajita Chandak, Michael Jansson, Xinwei Ma
2025 J jnl
scpi: Uncertainty Quantification for Synthetic Control Methods.
J. Stat. Softw.
Matias D. Cattaneo, Yingjie Feng, Filippo Palomba, Rocío Titiunik
2024 A* conf
On the Implicit Bias of Adam.
ICML
Matias D. Cattaneo, Jason M. Klusowski, Boris Shigida
2023 J jnl
On the Implicit Bias of Adam.
CoRR
Matias D. Cattaneo, Jason M. Klusowski, Boris Shigida
2022 J jnl
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation.
CoRR
Matias D. Cattaneo, Jason M. Klusowski, Peter M. Tian
2022 J jnl
lpdensity: Local Polynomial Density Estimation and Inference.
J. Stat. Softw.
Matias D. Cattaneo, Michael Jansson, Xinwei Ma
2020 J jnl
lspartition: Partitioning-Based Least Squares Regression.
R J.
Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
2015 J jnl
rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs.
R J.
Sebastian Calonico, Matias D. Cattaneo, Rocío Titiunik