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Found 9 papers, 1 papers with code
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
In particular, we prove near-optimal SQ lower bounds for NGCA under the moment-matching condition only.
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
We show analytically that as the representation power of the network increases, the optimization approaches a partial differential equation (PDE) in the continuum limit that is unstable.
SQ Lower Bounds for Learning Single Neurons with Massart Noise
We study the problem of PAC learning a single neuron in the presence of Massart noise.
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models
We establish optimal Statistical Query (SQ) lower bounds for robustly learning certain families of discrete high-dimensional distributions.
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
We discover restrained numerical instabilities in current training practices of deep networks with stochastic gradient descent (SGD).
Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension
We introduce a recently developed framework PDE Acceleration, which is a variational approach to accelerated optimization with partial differential equations (PDE), in the context of optimization of deep networks.
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition
We study the problem of learning Ising models satisfying Dobrushin's condition in the outlier-robust setting where a constant fraction of the samples are adversarially corrupted.
Correlated Feature Selection with Extended Exclusive Group Lasso
In many high dimensional classification or regression problems set in a biological context, the complete identification of the set of informative features is often as important as predictive accuracy, since this can provide mechanistic insight and conceptual understanding.
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing
To address the Cross-Modal Zero-Shot Hashing (CMZSH) retrieval task, we propose a novel Attribute-Guided Network (AgNet), which can perform not only IBIR, but also Text-Based Image Retrieval (TBIR).
