Papers
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.
On a Combination of Alternating Minimization and Nesterov’s Momentum
Sergey Guminov, Pavel Dvurechensky, Nazarii Tupitsa et al.
On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh, Aroof Aimen, Narayanan C Krishnan
On Disentangled Representations Learned from Correlated Data
Frederik Träuble, Elliot Creager, Niki Kilbertus et al.
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
Avrim Blum, Nika Haghtalab, Richard Lanas Phillips et al.
On Energy-Based Models with Overparametrized Shallow Neural Networks
Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden et al.
One Pass Late Fusion Multi-view Clustering
Xinwang Liu, Li Liu, Qing Liao et al.
Oneshot Differentially Private Top-k Selection
Gang Qiao, Weijie Su, Li Zhang
One-sided Frank-Wolfe algorithms for saddle problems
Vladimir Kolmogorov, Thomas Pock
On Estimation in Latent Variable Models
Guanhua Fang, Ping Li
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan, Haiyang Yu, Jie Wang et al.