Papers
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Chen Qiu, Timo Pfrommer, Marius Kloft et al.
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Marin Vlastelica, Michal Rolinek, Georg Martius
Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand, Gesualdo Scutari, Pavel Dvurechensky et al.
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
Kangqiao Liu, Liu Ziyin, Masahito Ueda
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Hangrui Bi, Hengyi Wang, Chence Shi et al.
Nondeterminism and Instability in Neural Network Optimization
Cecilia Summers, Michael J. Dinneen
Nonmyopic Multifidelity Acitve Search
Quan Nguyen, Arghavan Modiri, Roman Garnett
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato, Takeshi Teshima
Nonparametric Decomposition of Sparse Tensors
Conor Tillinghast, Shandian Zhe
Nonparametric Hamiltonian Monte Carlo
Carol Mak, Fabian Zaiser, Luke Ong
No-regret Algorithms for Capturing Events in Poisson Point Processes
Mojmir Mutny, Andreas Krause
Not All Memories are Created Equal: Learning to Forget by Expiring
Sainbayar Sukhbaatar, Da Ju, Spencer Poff et al.
Objective Bound Conditional Gaussian Process for Bayesian Optimization
Taewon Jeong, Heeyoung Kim
Object Segmentation Without Labels with Large-Scale Generative Models
Andrey Voynov, Stanislav Morozov, Artem Babenko
Oblivious Sketching-based Central Path Method for Linear Programming
Zhao Song, Zheng Yu
Oblivious Sketching for Logistic Regression
Alexander Munteanu, Simon Omlor, David Woodruff
Off-Belief Learning
Hengyuan Hu, Adam Lerer, Brandon Cui et al.
Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener, William Whitney, Rajesh Ranganath et al.
Offline Meta-Reinforcement Learning with Advantage Weighting
Eric Mitchell, Rafael Rafailov, Xue Bin Peng et al.
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov, Rob Fergus, Jonathan Tompson et al.
Offline Reinforcement Learning with Pseudometric Learning
Robert Dadashi, Shideh Rezaeifar, Nino Vieillard et al.
Off-Policy Confidence Sequences
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell et al.
OmniNet: Omnidirectional Representations from Transformers
Yi Tay, Mostafa Dehghani, Vamsi Aribandi et al.