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Found 3194 publication records. Showing 3194 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Tucker McElroy, Anindya Roy, Gaurab Hore |
FLIP: A Utility Preserving Privacy Mechanism for Time Series.  |
J. Mach. Learn. Res.  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hamid Reza Feyzmahdavian, Mikael Johansson 0001 |
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau |
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Chen Lu, Subhabrata Sen |
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Gaetano Romano, Idris A. Eckley, Paul Fearnhead, Guillem Rigaill |
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xi Wang, Zhipeng Tu, Yiguang Hong, Yingyi Wu, Guodong Shi |
Online Optimization over Riemannian Manifolds. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon |
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Doudou Zhou, Tianxi Cai, Junwei Lu |
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann |
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Haixu Ma, Donglin Zeng, Yufeng Liu |
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Unser |
Ridges, Neural Networks, and the Radon Transform. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhishuai Guo, Yan Yan 0006, Zhuoning Yuan, Tianbao Yang |
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Antonio Serrano-Muñoz, Dimitrios Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba |
skrl: Modular and Flexible Library for Reinforcement Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Marlos C. Machado, André Barreto 0001, Doina Precup, Michael Bowling |
Temporal Abstraction in Reinforcement Learning with the Successor Representation. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tobias Fritz, Andreas Klingler |
The d-Separation Criterion in Categorical Probability. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton |
MMD Aggregated Two-Sample Test. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel 0001, Edouard Grave |
Atlas: Few-shot Learning with Retrieval Augmented Language Models. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eli N. Weinstein, Jeffrey W. Miller |
Bayesian Data Selection. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu |
Statistical Inference for Noisy Incomplete Binary Matrix. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xu Han 0012, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu 0001 |
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andrew Davison, Morgane Austern |
Asymptotics of Network Embeddings Learned via Subsampling. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fábio Malcher Miranda, Niklas Köhnecke, Bernhard Y. Renard |
HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lan V. Truong |
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hui Jin, Guido Montúfar |
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron |
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ibrahim Merad, Stéphane Gaïffas |
Robust Methods for High-Dimensional Linear Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Justin Grimmer, Dean Knox, Brandon M. Stewart |
Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd |
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ziyue Wang, Zhiqiang Tan |
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | William J. Wilkinson, Simo Särkkä, Arno Solin |
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Runjing Liu, Jon D. McAuliffe, Jeffrey Regier, LSST Dark Energy Science Collaboration |
Variational Inference for Deblending Crowded Starfields. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu |
FedLab: A Flexible Federated Learning Framework. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham 0001, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du 0002, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang 0002, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel |
PaLM: Scaling Language Modeling with Pathways. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jose H. Blanchet, Yang Kang, José Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang |
Dropout Training is Distributionally Robust Optimal. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell |
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller |
Graph Clustering with Graph Neural Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Changhoon Song, Geonho Hwang, Junho Lee, Myungjoo Kang |
Minimal Width for Universal Property of Deep RNN. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nicolás García Trillos, Pengfei He 0002, Chenghui Li |
Large sample spectral analysis of graph-based multi-manifold clustering. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Martijn Gösgens, Remco van der Hofstad, Nelly Litvak |
The Hyperspherical Geometry of Community Detection: Modularity as a Distance. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hau-Tieng Wu, Nan Wu |
When Locally Linear Embedding Hits Boundary. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami |
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuqi Gu, Elena E. Erosheva, Gongjun Xu, David B. Dunson |
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhen Zhang, Mohammed Haroon Dupty, Fan Wu 0011, Javen Qinfeng Shi, Wee Sun Lee |
Factor Graph Neural Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Snigdha Panigrahi, Peter W. MacDonald, Daniel Kessler |
Approximate Post-Selective Inference for Regression with the Group LASSO. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jian Shen 0003, Hang Lai, Minghuan Liu, Han Zhao 0002, Yong Yu 0001, Weinan Zhang 0001 |
Adaptation Augmented Model-based Policy Optimization. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng |
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eric Graves 0002, Ehsan Imani, Raksha Kumaraswamy, Martha White |
Off-Policy Actor-Critic with Emphatic Weightings. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hengrui Cai, Chengchun Shi, Rui Song 0006, Wenbin Lu |
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi |
Learning Mean-Field Games with Discounted and Average Costs. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hua Liu, Jinhong You, Jiguo Cao |
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli |
Convex Reinforcement Learning in Finite Trials. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lingjun Li, Jun Li 0033 |
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Philippe Gagnon, Florian Maire, Giacomo Zanella |
Improving multiple-try Metropolis with local balancing. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pouya M. Ghari, Yanning Shen |
Graph-Aided Online Multi-Kernel Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ning Ning, Edward L. Ionides |
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Peng Zhao 0006, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou |
Non-stationary Online Learning with Memory and Non-stochastic Control. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff |
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yi-Rui Yang, Wu-Jun Li |
Buffered Asynchronous SGD for Byzantine Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanic |
Small Transformers Compute Universal Metric Embeddings. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Giora Simchoni, Saharon Rosset |
Integrating Random Effects in Deep Neural Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Dimitris Bertsimas, Driss Lahlou Kitane |
Sparse PCA: a Geometric Approach. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Manoj Kumar, Anurag Sharma, Sandeep Kumar |
A Unified Framework for Optimization-Based Graph Coarsening. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shuang Zhou 0013, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll |
Gaussian Processes with Errors in Variables: Theory and Computation. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Wenhao Li, Bo Jin 0003, Xiangfeng Wang, Junchi Yan, Hongyuan Zha |
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Abhishek Kaul, Hongjin Zhang, Konstantinos Tsampourakis, George Michailidis |
Inference on the Change Point under a High Dimensional Covariance Shift. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Qinbo Bai, Vaneet Aggarwal, Ather Gattami |
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Johannes Resin |
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen |
The Proximal ID Algorithm. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 1 | Konstantinos Perrakis, Thomas Lartigue, Frank Dondelinger, Sach Mukherjee |
Regularized Joint Mixture Models. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Ohad Shamir |
The Implicit Bias of Benign Overfitting. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Cédric M. Campos, Alejandro Mahillo, David Martín de Diego |
Discrete Variational Calculus for Accelerated Optimization. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Junsouk Choi, Yang Ni |
Model-based Causal Discovery for Zero-Inflated Count Data. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Haili Zhang, Zhaobo Liu, Guohua Zou |
Least Squares Model Averaging for Distributed Data. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Cheng Zeng, Jeffrey W. Miller, Leo L. Duan |
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica |
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Joshua Cutler, Dmitriy Drusvyatskiy, Zaïd Harchaoui |
Stochastic Optimization under Distributional Drift. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren 0006, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan |
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, Shohei Shimizu |
Python package for causal discovery based on LiNGAM. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhengyu Zhou, Wei Liu 0005 |
Sample Complexity for Distributionally Robust Learning under chi-square divergence. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang 0001 |
An Analysis of Robustness of Non-Lipschitz Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Henry Lam, Haofeng Zhang |
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Lihu Xu, Fang Yao, Qiuran Yao, Huiming Zhang |
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Hao Wang 0063, Rui Gao, Flávio P. Calmon |
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Kaiyi Ji, Yingbin Liang |
Lower Bounds and Accelerated Algorithms for Bilevel Optimization. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Radu Ioan Bot, Michael Sedlmayer, Phan Tu Vuong |
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Fenglei Fan, Rongjie Lai, Ge Wang 0001 |
Quasi-Equivalence between Width and Depth of Neural Networks. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen 0001, Yaodong Yang 0001, Yong Yu 0001, Jun Wang 0012, Weinan Zhang 0001 |
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Toni Karvonen, Chris J. Oates |
Maximum likelihood estimation in Gaussian process regression is ill-posed. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin |
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar Carlsson |
Topological Convolutional Layers for Deep Learning. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Sevvandi Kandanaarachchi, Kate Smith-Miles |
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Xuran Meng, Jeff Yao |
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Raj Agrawal, Tamara Broderick |
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Huan Li 0007, Zhouchen Lin |
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Glen Berseth, Florian Golemo, Christopher Pal |
Towards Learning to Imitate from a Single Video Demonstration. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin |
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Ben Dai, Chunlin Li 0007 |
RankSEG: A Consistent Ranking-based Framework for Segmentation. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Vojtech Franc, Daniel Prusa, Václav Vorácek |
Optimal Strategies for Reject Option Classifiers. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Hilde J. P. Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio |
Fairlearn: Assessing and Improving Fairness of AI Systems. |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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| 1 | Moran Feldman, Christopher Harshaw, Amin Karbasi |
How Do You Want Your Greedy: Simultaneous or Repeated? |
J. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
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