Poster

Tue 9:00

A permutation-free kernel two-sample test
Shubhanshu Shekhar · Ilmun Kim · Aaditya Ramdas

Affinity Workshop

MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah

Workshop

Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
Xinran Zhu · David Bindel · Jacob Gardner

Poster

Thu 9:00

Learning sparse features can lead to overfitting in neural networks
Leonardo Petrini · Francesco Cagnetta · Eric Vanden-Eijnden · Matthieu Wyart

Poster

Thu 9:00

Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmir Mutny · Andreas Krause

Poster

Tue 14:00

Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi · Wonho Bae · Danica J. Sutherland

Poster

Tue 14:00

Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
Zhi-Hao Tan · Yi Xie · Yuan Jiang · Zhi-Hua Zhou

Poster

Thu 9:00

A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction
Boxiang Wang · Archer Yang

Poster

Wed 9:00

Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
Yutong Wang · Clay Scott

Poster

Tue 9:00

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data
Yehui Tang · Junchi Yan

Poster

Tue 9:00

Kernel similarity matching with Hebbian networks
Kyle Luther · Sebastian Seung

Poster

Thu 9:00

High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang