Results

Poster	Thu 14:00	Generalization for multiclass classification with overparameterized linear models Vignesh Subramanian · Rahul Arya · Anant Sahai
Workshop		Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
Affinity Workshop		Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations Charupriya Sharma
Poster	Tue 9:00	Communication Efficient Federated Learning for Generalized Linear Bandits Chuanhao Li · Hongning Wang
Poster	Thu 14:00	Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model Pranjal Awasthi · Abhimanyu Das · Weihao Kong · Rajat Sen
Poster	Thu 14:00	Provably Efficient Model-Free Constrained RL with Linear Function Approximation Arnob Ghosh · Xingyu Zhou · Ness Shroff
Poster	Thu 14:00	A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
Poster	Tue 14:00	Causal Inference with Non-IID Data using Linear Graphical Models Chi Zhang · Karthika Mohan · Judea Pearl
Poster	Thu 9:00	Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve Giannis Daras · Negin Raoof · Zoi Gkalitsiou · Alex Dimakis
Workshop		Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior Shunsuke Horii
Workshop		Blind Drifting: Diffusion models with a linear SDE drift term for blind image restoration tasks Simon Welker · Henry Chapman · Timo Gerkmann
Poster	Tue 14:00	Robust Testing in High-Dimensional Sparse Models Anand Jerry George · Clément L Canonne