JMLR - volume 23 - 2022 论文列表 |
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Volume 23, 2022
Victor Guilherme Turrisi da Costa Enrico Fini Moin Nabi Nicu Sebe Elisa Ricci
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy.Terrance D. Savitsky Matthew R. Williams Jingchen Hu
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng Carolin Benjamins Tim Ruhkopf René Sass Frank Hutter
DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python.Philipp Bach Victor Chernozhukov Malte S. Kurz Martin Spindler
LinCDE: Conditional Density Estimation via Lindsey's Method. Toolbox for Multimodal Learn (scikit-multimodallearn).Dominique Benielli Baptiste Bauvin Sokol Koço Riikka Huusari Cécile Capponi Hachem Kadri François Laviolette
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks.Luong Ha Nguyen James-A. Goulet
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection. Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis.Zhiyan Ding Shi Chen Qin Li Stephen J. Wright
Cascaded Diffusion Models for High Fidelity Image Generation.Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent.Wanrong Zhu Zhipeng Lou Wei Biao Wu
Optimal Transport for Stationary Markov Chains via Policy Iteration.Kevin O'Connor Kevin McGoff Andrew B. Nobel
PAC Guarantees and Effective Algorithms for Detecting Novel Categories.Si Liu Risheek Garrepalli Dan Hendrycks Alan Fern Debashis Mondal Thomas G. Dietterich
Sampling Permutations for Shapley Value Estimation.Rory Mitchell Joshua Cooper Eibe Frank Geoffrey Holmes
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks.Zhong Li Jiequn Han Weinan E Qianxiao Li
The correlation-assisted missing data estimator.Timothy I. Cannings Yingying Fan
Structure-adaptive Manifold Estimation.Nikita Puchkin Vladimir G. Spokoiny
(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.Jeremiah Birrell Paul Dupuis Markos A. Katsoulakis Yannis Pantazis Luc Rey-Bellet
Score Matched Neural Exponential Families for Likelihood-Free Inference.Lorenzo Pacchiardi Ritabrata Dutta
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric. Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization.Feihu Huang Shangqian Gao Jian Pei Heng Huang
Optimality and Stability in Non-Convex Smooth Games.Guojun Zhang Pascal Poupart Yaoliang Yu
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.Weijing Tang Jiaqi Ma Qiaozhu Mei Ji Zhu
Model Averaging Is Asymptotically Better Than Model Selection For Prediction. Active Learning for Nonlinear System Identification with Guarantees.Horia Mania Michael I. Jordan Benjamin Recht
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression.Jaouad Mourtada Stéphane Gaïffas
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One.Augusto Fasano Daniele Durante
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning.Kaiyi Ji Junjie Yang Yingbin Liang
Novel Min-Max Reformulations of Linear Inverse Problems.Mohammed Rayyan Sheriff Debasish Chatterjee
Data-Derived Weak Universal Consistency.Narayana Santhanam Venkatachalam Anantharam Wojciech Szpankowski
MurTree: Optimal Decision Trees via Dynamic Programming and Search.Emir Demirovic Anna Lukina Emmanuel Hebrard Jeffrey Chan James Bailey Christopher Leckie Kotagiri Ramamohanarao Peter J. Stuckey
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting.Maxime Vono Daniel Paulin Arnaud Doucet
On Biased Stochastic Gradient Estimation.Derek Driggs Jingwei Liang Carola-Bibiane Schönlieb
Fast and Robust Rank Aggregation against Model Misspecification.Yuangang Pan Ivor W. Tsang Weijie Chen Gang Niu Masashi Sugiyama
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data.Ali Eshragh Fred Roosta Asef Nazari Michael W. Mahoney
Evolutionary Variational Optimization of Generative Models.Jakob Drefs Enrico Guiraud Jörg Lücke
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder. Universal Approximation in Dropout Neural Networks.Oxana A. Manita Mark A. Peletier Jacobus W. Portegies Jaron Sanders Albert Senen-Cerda
Decimated Framelet System on Graphs and Fast G-Framelet Transforms.Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang
Spatial Multivariate Trees for Big Data Bayesian Regression.Michele Peruzzi David B. Dunson
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.Kaixuan Wei Angelica I. Avilés-Rivero Jingwei Liang Ying Fu Hua Huang Carola-Bibiane Schönlieb
A Stochastic Bundle Method for Interpolation.Alasdair Paren Leonard Berrada Rudra P. K. Poudel M. Pawan Kumar
On Generalizations of Some Distance Based Classifiers for HDLSS Data.Sarbojit Roy Soham Sarkar Subhajit Dutta Anil Kumar Ghosh
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality.Dimitris Bertsimas Ryan Cory-Wright Jean Pauphilet
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems.Jayakumar Subramanian Amit Sinha Raihan Seraj Aditya Mahajan
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes. Interpolating Predictors in High-Dimensional Factor Regression.Florentina Bunea Seth Strimas-Mackey Marten H. Wegkamp
Scaling Laws from the Data Manifold Dimension. Deep Learning in Target Space.Michael Fairbank Spyridon Samothrakis Luca Citi
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes.Justin D. Silverman Kimberly Roche Zachary C. Holmes Lawrence A. David Sayan Mukherjee
XAI Beyond Classification: Interpretable Neural Clustering.Xi Peng Yunfan Li Ivor W. Tsang Hongyuan Zhu Jiancheng Lv Joey Tianyi Zhou
Empirical Risk Minimization under Random Censorship.Guillaume Ausset Stéphan Clémençon François Portier
Exploiting locality in high-dimensional Factorial hidden Markov models. Recovering shared structure from multiple networks with unknown edge distributions. Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions. Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models.