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05/28/2023
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
We present new insights and a novel paradigm (StEik) for learning implic...
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10/18/2022
SQ Lower Bounds for Learning Single Neurons with Massart Noise
We study the problem of PAC learning a single neuron in the presence of ...
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06/09/2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models
We establish optimal Statistical Query (SQ) lower bounds for robustly le...
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06/04/2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
We discover restrained numerical instabilities in current training pract...
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02/03/2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition
We study the problem of learning Ising models satisfying Dobrushin's con...
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02/27/2020
Correlated Feature Selection with Extended Exclusive Group Lasso
In many high dimensional classification or regression problems set in a ...
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09/10/2019
Contraction: a Unified Perspective of Correlation Decay and Zero-Freeness of 2-Spin Systems
We study complex zeros of the partition function of 2-spin systems, view...
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02/06/2018
