Papers
High-recall causal discovery for autocorrelated time series with latent confounders
Andreas Gerhardus, Jakob Runge
Efficient estimation of neural tuning during naturalistic behavior
Edoardo Balzani, Kaushik Lakshminarasimhan, Dora Angelaki et al.
CSER: Communication-efficient SGD with Error Reset
Cong Xie, Shuai Zheng, Sanmi Koyejo et al.
How many samples is a good initial point worth in Low-rank Matrix Recovery?
Jialun Zhang, Richard Zhang
Generative Neurosymbolic Machines
Jindong Jiang, Sungjin Ahn
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong, Yatao Bian, Tingyang Xu et al.
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya, Ertunc Erdil, Neerav Karani et al.
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
Steven Jecmen, Hanrui Zhang, Ryan Liu et al.
On Convergence of Nearest Neighbor Classifiers over Feature Transformations
Luka Rimanic, Cedric Renggli, Bo Li et al.
Dynamic Regret of Convex and Smooth Functions
Peng Zhao, Yu-Jie Zhang, Lijun Zhang et al.
Value-driven Hindsight Modelling
Arthur Guez, Fabio Viola, Theophane Weber et al.
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan, Yu Zheng, Wei Ao et al.
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
William Moses, Valentin Churavy
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs
Nevena Lazic, Dong Yin, Mehrdad Farajtabar et al.
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.
Improved Techniques for Training Score-Based Generative Models
Yang Song, Stefano Ermon
Matérn Gaussian Processes on Riemannian Manifolds
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky et al.
Escaping Saddle-Point Faster under Interpolation-like Conditions
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi et al.
Off-Policy Imitation Learning from Observations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai et al.
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.
Temporal Variability in Implicit Online Learning
Nicolò Campolongo, Francesco Orabona
Universally Quantized Neural Compression
Eirikur Agustsson, Lucas Theis
The Wasserstein Proximal Gradient Algorithm
Adil Salim, Anna Korba, Giulia Luise
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
Shangchen Du, Shan You, Xiaojie Li et al.
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde, Julien Roy, Wonseok Jeon et al.