Papers
Can Unconditional Language Models Recover Arbitrary Sentences?
Nishant Subramani, Samuel Bowman, Kyunghyun Cho
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann et al.
Explicit Planning for Efficient Exploration in Reinforcement Learning
Liangpeng Zhang, Ke Tang, Xin Yao
Model Similarity Mitigates Test Set Overuse
Horia Mania, John Miller, Ludwig Schmidt et al.
Large Scale Structure of Neural Network Loss Landscapes
Stanislav Fort, Stanislaw Jastrzebski
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu, Shiwan Zhao, Chaochao Chen et al.
Graph Agreement Models for Semi-Supervised Learning
Otilia Stretcu, Krishnamurthy Viswanathan, Dana Movshovitz-Attias et al.
Fast and Accurate Least-Mean-Squares Solvers
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Provably Efficient Q-Learning with Low Switching Cost
Yu Bai, Tengyang Xie, Nan Jiang et al.
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo et al.
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody et al.
A Model to Search for Synthesizable Molecules
John Bradshaw, Brooks Paige, Matt J Kusner et al.
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
Deeksha Adil, Richard Peng, Sushant Sachdeva
Limitations of the empirical Fisher approximation for natural gradient descent
Frederik Kunstner, Philipp Hennig, Lukas Balles
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
Rohith Kuditipudi, Xiang Wang, Holden Lee et al.
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
Tao Sun, Yuejiao Sun, Dongsheng Li et al.
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent LE GUEN, Nicolas THOME
Regularized Gradient Boosting
Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
Learning nonlinear level sets for dimensionality reduction in function approximation
Guannan Zhang, Jiaxin Zhang, Jacob Hinkle
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick et al.
General E(2)-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi, Hamed Hassani, Aryan Mokhtari et al.
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
Edward De Brouwer, Jaak Simm, Adam Arany et al.
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre, Armin eftekhari, Volkan Cevher
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng, Wei Wu, Fei Wang et al.