Papers
Fast Parallel Algorithms for Statistical Subset Selection Problems
Sharon Qian, Yaron Singer
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
Deeksha Adil, Richard Peng, Sushant Sachdeva
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
Jun Yang, Shengyang Sun, Daniel M. Roy
Fast Sparse Group Lasso
Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima
FastSpeech: Fast, Robust and Controllable Text to Speech
Yi Ren, Yangjun Ruan, Xu Tan et al.
Fast Structured Decoding for Sequence Models
Zhiqing Sun, Zhuohan Li, Haoqing Wang et al.
Fast structure learning with modular regularization
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer et al.
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao et al.
Finding Friend and Foe in Multi-Agent Games
Jack Serrino, Max Kleiman-Weiner, David C. Parkes et al.
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
Stéphane d'Ascoli, Levent Sagun, Giulio Biroli et al.
Finite-Sample Analysis for SARSA with Linear Function Approximation
Shaofeng Zou, Tengyu Xu, Yingbin Liang
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Karl Krauth, Stephen Tu, Benjamin Recht
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
Harsh Gupta, R. Srikant, Lei Ying
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Thanh Huy Nguyen, Umut Simsekli, Mert Gurbuzbalaban et al.
First order expansion of convex regularized estimators
Pierre Bellec, Arun Kuchibhotla
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
Ioannis Panageas, Georgios Piliouras, Xiao Wang
First Order Motion Model for Image Animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov et al.
Fisher Efficient Inference of Intractable Models
Song Liu, Takafumi Kanamori, Wittawat Jitkrittum et al.
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
Chris Russell, Matteo Toso, Neill Campbell
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze et al.
Flattening a Hierarchical Clustering through Active Learning
Fabio Vitale, Anand Rajagopalan, Claudio Gentile
Flexible information routing in neural populations through stochastic comodulation
Caroline Haimerl, Cristina Savin, Eero Simoncelli
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Joshua Robinson, Suvrit Sra, Stefanie Jegelka
Flow-based Image-to-Image Translation with Feature Disentanglement
Ruho Kondo, Keisuke Kawano, Satoshi Koide et al.