Papers
Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis, Tian Li, Virginia Smith
Heterogeneous Risk Minimization
Jiashuo Liu, Zheyuan Hu, Peng Cui et al.
"Hey, that’s not an ODE": Faster ODE Adjoints via Seminorms
Patrick Kidger, Ricky T. Q. Chen, Terry J Lyons
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
Laxman Dhulipala, David Eisenstat, Jakub Łącki et al.
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
Anand Rajagopalan, Fabio Vitale, Danny Vainstein et al.
Hierarchical VAEs Know What They Don’t Know
Jakob D. Havtorn, Jes Frellsen, Søren Hauberg et al.
High Confidence Generalization for Reinforcement Learning
James Kostas, Yash Chandak, Scott M Jordan et al.
High-dimensional Experimental Design and Kernel Bandits
Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels
High-Dimensional Gaussian Process Inference with Derivatives
Filip de Roos, Alexandra Gessner, Philipp Hennig
High-Performance Large-Scale Image Recognition Without Normalization
Andy Brock, Soham De, Samuel L Smith et al.
Homomorphic Sensing: Sparsity and Noise
Liangzu Peng, Boshi Wang, Manolis Tsakiris
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Ines Chami, Albert Gu, Dat P Nguyen et al.
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Jyotikrishna Dass, Rabi Mahapatra
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda M Gentzel, Purva Pruthi, David Jensen
How could Neural Networks understand Programs?
Dinglan Peng, Shuxin Zheng, Yatao Li et al.
How Do Adam and Training Strategies Help BNNs Optimization
Zechun Liu, Zhiqiang Shen, Shichao Li et al.
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
Ali Akbari, Muhammad Awais, Manijeh Bashar et al.
How Framelets Enhance Graph Neural Networks
Xuebin Zheng, Bingxin Zhou, Junbin Gao et al.
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai, Minshuo Chen, Pan Zhou et al.
How rotational invariance of common kernels prevents generalization in high dimensions
Konstantin Donhauser, Mingqi Wu, Fanny Yang
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Zachary Izzo, Lexing Ying, James Zou
HyperHyperNetwork for the Design of Antenna Arrays
Shahar Lutati, Lior Wolf
Hyperparameter Selection for Imitation Learning
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent et al.
I-BERT: Integer-only BERT Quantization
Sehoon Kim, Amir Gholami, Zhewei Yao et al.