Papers
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
Difan Zou, Quanquan Gu
On the difficulty of unbiased alpha divergence minimization
Tomas Geffner, Justin Domke
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
Hancheng Min, Salma Tarmoun, Rene Vidal et al.
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
Moontae Lee, Sungjun Cho, Kun Dong et al.
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
Peizhong Ju, Xiaojun Lin, Ness Shroff
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson et al.
On the Inherent Regularization Effects of Noise Injection During Training
Oussama Dhifallah, Yue Lu
On the Optimality of Batch Policy Optimization Algorithms
Chenjun Xiao, Yifan Wu, Jincheng Mei et al.
On the Predictability of Pruning Across Scales
Jonathan S Rosenfeld, Jonathan Frankle, Michael Carbin et al.
On the price of explainability for some clustering problems
Eduardo S Laber, Lucas Murtinho
On the Problem of Underranking in Group-Fair Ranking
Sruthi Gorantla, Amit Deshpande, Anand Louis
On the Random Conjugate Kernel and Neural Tangent Kernel
Zhengmian Hu, Heng Huang
On Variational Inference in Biclustering Models
Guanhua Fang, Ping Li
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl, Kevin Swersky, Milad Hashemi et al.
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Avik Pal, Yingbo Ma, Viral Shah et al.
Operationalizing Complex Causes: A Pragmatic View of Mediation
Limor Gultchin, David Watson, Matt Kusner et al.
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee, Wonseok Jeon, Byungjun Lee et al.
Optimal Complexity in Decentralized Training
Yucheng Lu, Christopher De Sa
Optimal Counterfactual Explanations in Tree Ensembles
Axel Parmentier, Thibaut Vidal
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
Peng Wang, Huikang Liu, Zirui Zhou et al.
Optimal Off-Policy Evaluation from Multiple Logging Policies
Nathan Kallus, Yuta Saito, Masatoshi Uehara
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli et al.