Papers
Universal Function Approximation on Graphs
Rickard Brüel Gabrielsson
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang, Dipanjan Ghosh, Maria Gonzalez Diaz et al.
Learning Linear Programs from Optimal Decisions
Yingcong Tan, Daria Terekhov, Andrew Delong
Learning Disentangled Representations and Group Structure of Dynamical Environments
Robin Quessard, Thomas Barrett, William Clements
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren, Jure Leskovec
Counterfactual Prediction for Bundle Treatment
Hao Zou, Peng Cui, Bo Li et al.
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel, Ibrahim M Alabdulmohsin, Ilya O Tolstikhin et al.
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang, Qi Cai, Zhuoran Yang et al.
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
HYDRA: Pruning Adversarially Robust Neural Networks
Vikash Sehwag, Shiqi Wang, Prateek Mittal et al.
Recursive Inference for Variational Autoencoders
Minyoung Kim, Vladimir Pavlovic
Parameterized Explainer for Graph Neural Network
Dongsheng Luo, Wei Cheng, Dongkuan Xu et al.
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina, Tuomas Sandholm
Autoencoders that don't overfit towards the Identity
Harald Steck
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh, Jichan Chung, Dong Yin et al.
Exponential ergodicity of mirror-Langevin diffusions
Sinho Chewi, Thibaut Le Gouic, Chen Lu et al.
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space
Adam Smith, Shuang Song, Abhradeep Guha Thakurta
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri, Andrew Owens, Alexei Efros
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
Jinseok Kim, Kyungsu Kim, Jae-Joon Kim
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Sean Kulinski, Saurabh Bagchi, David I Inouye
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
Ruqi Zhang, A. Feder Cooper, Christopher M De Sa
Quantized Variational Inference
Amir Dib
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane MARFOQ, CHUAN XU, Giovanni Neglia et al.