Ghoshal, Asish

10 publications

UAI 2024 Identifying Causal Changes Between Linear Structural Equation Models Vineet Malik, Kevin Bello, Asish Ghoshal, Jean Honorio

AISTATS 2021 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

ICLR 2021 Learning Better Structured Representations Using Low-Rank Adaptive Label Smoothing Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad

AISTATS 2020 Minimax Bounds for Structured Prediction Based on Factor Graphs Kevin Bello, Asish Ghoshal, Jean Honorio

AISTATS 2018 Learning Linear Structural Equation Models in Polynomial Time and Sample Complexity Asish Ghoshal, Jean Honorio

ICML 2018 Learning Maximum-a-Posteriori Perturbation Models for Structured Prediction in Polynomial Time Asish Ghoshal, Jean Honorio

AISTATS 2018 Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity Asish Ghoshal, Jean Honorio

AISTATS 2017 Information-Theoretic Limits of Bayesian Network Structure Learning Asish Ghoshal, Jean Honorio

AISTATS 2017 Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions Asish Ghoshal, Jean Honorio

NeurIPS 2017 Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal, Jean Honorio