Papers
4,025 papers found
Fisher Information and Natural Gradient Learning in Random Deep Networks
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin et al.
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning
Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania et al.
Forward Amortized Inference for Likelihood-Free Variational Marginalization
Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya et al.
Foundations of Sequence-to-Sequence Modeling for Time Series
Zelda Mariet, Vitaly Kuznetsov
From Cost-Sensitive Classification to Tight F-measure Bounds
Kevin Bascol, Rémi Emonet, Elisa Fromont et al.
Gain estimation of linear dynamical systems using Thompson Sampling
Matias I. Müller, Cristian R. Rojas
Gaussian Process Latent Variable Alignment Learning
Ieva Kazlauskaite, Carl Henrik Ek, Neill Campbell
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Andrés F. Lopez-Lopera, ST John, Nicolas Durrande
Gaussian Regression with Convex Constraints
Matey Neykov
Generalized Boltzmann Machine with Deep Neural Structure
Yingru Liu, Dongliang Xie, Xin Wang
Generalizing the theory of cooperative inference
Pei Wang, Pushpi Paranamana, Patrick Shafto
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems
Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain et al.
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation
Mingming Sun, Ping Li
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Harmonizable mixture kernels with variational Fourier features
Zheyang Shen, Markus Heinonen, Samuel Kaski
Hierarchical Clustering for Euclidean Data
Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh et al.
High Dimensional Inference in Partially Linear Models
Ying Zhu, Zhuqing Yu, Guang Cheng
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models
Gunwoong Park, Hyewon Park
Imitation-Regularized Offline Learning
Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy
Implicit Kernel Learning
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh et al.
Improved Semi-Supervised Learning with Multiple Graphs
Krishnamurthy Viswanathan, Sushant Sachdeva, Andrew Tomkins et al.