Papers
Nonstochastic Multiarmed Bandits with Unrestricted Delays
Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
Nonzero-sum Adversarial Hypothesis Testing Games
Sarath Yasodharan, Patrick Loiseau
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, SETON STEVEN BOCCO et al.
No-Regret Learning in Unknown Games with Correlated Payoffs
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour et al.
Normalization Helps Training of Quantized LSTM
Lu Hou, Jinhua Zhu, James Kwok et al.
Novel positional encodings to enable tree-based transformers
Vighnesh Shiv, Chris Quirk
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
Tao Yu, Christopher M De Sa
Object landmark discovery through unsupervised adaptation
Enrique Sanchez, Georgios Tzimiropoulos
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Andrei Barbu, David Mayo, Julian Alverio et al.
Oblivious Sampling Algorithms for Private Data Analysis
Sajin Sasy, Olga Ohrimenko
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
Cagatay Yildiz, Markus Heinonen, Harri Lahdesmaki
Offline Contextual Bandits with High Probability Fairness Guarantees
Blossom Metevier, Stephen Giguere, Sarah Brockman et al.
Offline Contextual Bayesian Optimization
Ian Char, Youngseog Chung, Willie Neiswanger et al.
Off-Policy Evaluation via Off-Policy Classification
Alexander Irpan, Kanishka Rao, Konstantinos Bousmalis et al.
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma et al.
On Differentially Private Graph Sparsification and Applications
Raman Arora, Jalaj Upadhyay
On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara, Pruthuvi Maheshakya Wijewardena
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen et al.
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos, Haonan Yu, Michela Paganini et al.
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora, Simon S Du, Wei Hu et al.
On Fenchel Mini-Max Learning
Chenyang Tao, Liqun Chen, Shuyang Dai et al.
On Human-Aligned Risk Minimization
Liu Leqi, Adarsh Prasad, Pradeep K Ravikumar
On Lazy Training in Differentiable Programming
Lénaïc Chizat, Edouard Oyallon, Francis Bach
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
Lili Su, Pengkun Yang