Papers
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora, Simon Du, Wei Hu et al.
Fingerprint Policy Optimisation for Robust Reinforcement Learning
Supratik Paul, Michael A. Osborne, Shimon Whiteson
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning
Thinh Doan, Siva Maguluri, Justin Romberg
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
Carl-Johann Simon-Gabriel, Yann Ollivier, Leon Bottou et al.
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems
Ching-Pei Lee, Stephen Wright
Flat Metric Minimization with Applications in Generative Modeling
Thomas Möllenhoff, Daniel Cremers
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, Joern-Henrik Jacobsen et al.
FloWaveNet : A Generative Flow for Raw Audio
Sungwon Kim, Sang-Gil Lee, Jongyoon Song et al.
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho, Xi Chen, Aravind Srinivas et al.
Formal Privacy for Functional Data with Gaussian Perturbations
Ardalan Mirshani, Matthew Reimherr, Aleksandra Slavković
Functional Transparency for Structured Data: a Game-Theoretic Approach
Guang-He Lee, Wengong Jin, David Alvarez-Melis et al.
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
Arvind Raghunathan, Anoop Cherian, Devesh Jha
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvari, Sharan Vaswani et al.
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco Cohen, Maurice Weiler, Berkay Kicanaoglu et al.
GDPP: Learning Diverse Generations using Determinantal Point Processes
Mohamed Elfeki, Camille Couprie, Morgane Riviere et al.
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Carlo Lucibello, Luca Saglietti, Yue Lu
Generalized Linear Rule Models
Dennis Wei, Sanjeeb Dash, Tian Gao et al.
Generalized Majorization-Minimization
Sobhan Naderi Parizi, Kun He, Reza Aghajani et al.
Generalized No Free Lunch Theorem for Adversarial Robustness
Elvis Dohmatob
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li, Hui Li et al.
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation
Jinyang Yuan, Bin Li, Xiangyang Xue
Geometric Losses for Distributional Learning
Arthur Mensch, Mathieu Blondel, Gabriel Peyré
Geometric Scattering for Graph Data Analysis
Feng Gao, Guy Wolf, Matthew Hirn
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward Smith, Scott Fujimoto, Adriana Romero et al.