Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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23,821 to 23,880 of 61,350

The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson +2
stat.MLcs.LGarXiv:1710.10345v72017
Overlap in Observational Studies with High-Dimensional Covariates
Alexander D'Amour, Peng Ding, Avi Feller +2
math.STarXiv:1711.02582v42017
$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes
Phillip J. Schulte, Anastasios A. Tsiatis, Eric B. Laber +1
stat.MEcs.AIarXiv:1202.4177v32012
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang +2
cs.CVarXiv:1711.01991v32017
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
M. G. B. Blum, M. A. Nunes, D. Prangle +1
stat.MEstat.COarXiv:1202.3819v32012
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8
cs.CVcs.AIcs.LGarXiv:1711.01468v12017
Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr +1
cs.LGstat.MLarXiv:1706.02515v52017
When Should You Adjust Standard Errors for Clustering?
Alberto Abadie, Susan Athey, Guido Imbens +1
math.STecon.EMarXiv:1710.02926v42017
A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J. Heaton, Abhirup Datta, Andrew Finley +10
stat.MEarXiv:1710.05013v22017
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang +1
math.STmath.PRarXiv:1709.09565v22017
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
cs.CVcs.AIcs.LGarXiv:1710.05381v22017
Deep Bilateral Learning for Real-Time Image Enhancement
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron +2
cs.GRcs.CVarXiv:1707.02880v22017
Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization
Yang Wang, Lin Wu
cs.CVarXiv:1709.01212v32017
Multi-task Self-Supervised Visual Learning
Carl Doersch, Andrew Zisserman
cs.CVarXiv:1708.07860v12017
A Tutorial on Thompson Sampling
Daniel Russo, Benjamin Van Roy, Abbas Kazerouni +2
cs.LGarXiv:1707.02038v32017
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
Linfeng Zhang, Jiequn Han, Han Wang +2
physics.comp-phcs.LGphysics.chem-pharXiv:1707.09571v22017
Adaptive Huber Regression
Qiang Sun, Wenxin Zhou, Jianqing Fan
math.STstat.MEarXiv:1706.06991v22017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li, R. Srikant
cs.LGstat.MLarXiv:1706.02690v52017
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi, Alexandros Karatzoglou
cs.LGarXiv:1706.03847v32017
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
Thai T. Pham, Yuanyuan Shen
stat.MLcs.IRcs.LGarXiv:1706.02795v12017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern +2
stat.MLcs.LGarXiv:1705.08292v22017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen, Cong Xu, Feng Yan +4
cs.LGcs.DCcs.NEarXiv:1705.07878v62017
Information Transmission using the Nonlinear Fourier Transform, Part I: Mathematical Tools
Mansoor I. Yousefi, Frank R. Kschischang
cs.ITarXiv:1202.3653v32012
A New Approach to Practical Active-Secure Two-Party Computation
Jesper Buus Nielsen, Peter Sebastian Nordholt, Claudio Orlandi +1
cs.CRarXiv:1202.3052v12012
Hierarchical Clustering: Objective Functions and Algorithms
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn +1
cs.DScs.LGarXiv:1704.02147v12017
Safe and Nested Subgame Solving for Imperfect-Information Games
Noam Brown, Tuomas Sandholm
cs.AIcs.GTarXiv:1705.02955v32017
Implementing a distance-based classifier with a quantum interference circuit
Maria Schuld, Mark Fingerhuth, Francesco Petruccione
quant-pharXiv:1703.10793v22017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Richard A. Berk, Hoda Heidari, Shahin Jabbari +2
stat.MLarXiv:1703.09207v22017
Minimax Regret Bounds for Reinforcement Learning
Mohammad Gheshlaghi Azar, Ian Osband, Rémi Munos
stat.MLcs.AIcs.LGarXiv:1703.05449v22017
Tensor SVD: Statistical and Computational Limits
Anru Zhang, Dong Xia
math.STcs.LGstat.MEarXiv:1703.02724v42017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
Peter L. Bartlett, Nick Harvey, Chris Liaw +1
cs.LGarXiv:1703.02930v32017
Optimal Linear Codes with a Local-Error-Correction Property
N. Prakash, Govinda M. Kamath, V. Lalitha +1
cs.ITarXiv:1202.2414v12012
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge, Tengyu Ma +1
cs.LGcs.DScs.NEarXiv:1503.00778v12015
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane +3
cs.LGcs.DScs.ITarXiv:1703.00893v42017
Autoencoding Variational Inference For Topic Models
Akash Srivastava, Charles Sutton
stat.MLarXiv:1703.01488v12017
How to Escape Saddle Points Efficiently
Chi Jin, Rong Ge, Praneeth Netrapalli +2
cs.LGmath.OCstat.MLarXiv:1703.00887v12017
Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)
Wen Li, Ying Zhang, Yifang Sun +3
cs.DBarXiv:1610.02455v12016
Controlling edge dynamics in complex networks
Tamás Nepusz, Tamás Vicsek
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1112.5945v12011
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Yingyu Liang +2
cs.LGcs.NEstat.MLarXiv:1703.00573v52017
A geometric analysis of subspace clustering with outliers
Mahdi Soltanolkotabi, Emmanuel J. Candés
cs.ITcs.LGmath.STarXiv:1112.4258v52011
Benchmarks for single-phase flow in fractured porous media
Bernd Flemisch, Inga Berre, Wietse Boon +5
math.NAcs.CEarXiv:1701.01496v12017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum, Mohammad Norouzi, Kelvin Xu +1
cs.AIcs.LGstat.MLarXiv:1702.08892v32017
A First Order Method for Solving Convex Bi-Level Optimization Problems
Shoham Sabach, Shimrit Shtern
math.OCarXiv:1702.03999v12017
Sparse principal component analysis and iterative thresholding
Zongming Ma
math.STstat.MEarXiv:1112.2432v22011
Algorithmic decision making and the cost of fairness
Sam Corbett-Davies, Emma Pierson, Avi Feller +2
cs.CYstat.AParXiv:1701.08230v42017
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
Daniel W. Apley, Jingyu Zhu
stat.MEarXiv:1612.08468v22016
SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group
David M. Rosen, Luca Carlone, Afonso S. Bandeira +1
cs.ROarXiv:1612.07386v22016
Efficient variational quantum simulator incorporating active error minimisation
Ying Li, Simon C. Benjamin
quant-pharXiv:1611.09301v52016
Cubical Type Theory: a constructive interpretation of the univalence axiom
Cyril Cohen, Thierry Coquand, Simon Huber +1
cs.LOmath.LOarXiv:1611.02108v12016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison, Andriy Mnih, Yee Whye Teh
cs.LGstat.MLarXiv:1611.00712v32016
TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
Léo Grinsztajn, Klemens Flöge, Oscar Key +23
cs.LGstat.MLarXiv:2511.08667v22025
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Renzhi Chen, Ke Li, Xin Yao
cs.NEarXiv:1608.06514v22016
Characterizing Quantum Supremacy in Near-Term Devices
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy +6
quant-pharXiv:1608.00263v32016
Energy-based Generative Adversarial Network
Junbo Zhao, Michael Mathieu, Yann LeCun
cs.LGstat.MLarXiv:1609.03126v42016
Structure-based control of complex networks with nonlinear dynamics
Jorge G. T. Zañudo, Gang Yang, Réka Albert
cond-mat.dis-nneess.SYphysics.soc-pharXiv:1605.08415v32016
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication
Dana Hughes, Nikolaus Correll
cs.LGcs.ROarXiv:1606.03508v12016
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
Hongli Yu, Tinghong Chen, Jiangtao Feng +8
cs.CLcs.AIcs.LGarXiv:2507.02259v22025
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
Ke Yu, Chao Dong, Liang Lin +1
cs.CVarXiv:1804.03312v12018
QuTiP: An open-source Python framework for the dynamics of open quantum systems
J. R. Johansson, P. D. Nation, Franco Nori
quant-phcond-mat.supr-conphysics.comp-pharXiv:1110.0573v22011
Simulation-based optimal Bayesian experimental design for nonlinear systems
Xun Huan, Youssef M. Marzouk
stat.MLstat.COstat.MEarXiv:1108.4146v32011

Every paper with a summary

The Implicit Bias of Gradient Descent on Separable Data

Overlap in Observational Studies with High-Dimensional Covariates

$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Mitigating Adversarial Effects Through Randomization

A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Self-Normalizing Neural Networks

When Should You Adjust Standard Errors for Clustering?

A Case Study Competition Among Methods for Analyzing Large Spatial Data

Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank

A systematic study of the class imbalance problem in convolutional neural networks

Deep Bilateral Learning for Real-Time Image Enhancement

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-task Self-Supervised Visual Learning

A Tutorial on Thompson Sampling

Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics

Adaptive Huber Regression

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform

The Marginal Value of Adaptive Gradient Methods in Machine Learning

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning

Information Transmission using the Nonlinear Fourier Transform, Part I: Mathematical Tools

A New Approach to Practical Active-Secure Two-Party Computation

Hierarchical Clustering: Objective Functions and Algorithms

Safe and Nested Subgame Solving for Imperfect-Information Games

Implementing a distance-based classifier with a quantum interference circuit

Fairness in Criminal Justice Risk Assessments: The State of the Art

Minimax Regret Bounds for Reinforcement Learning

Tensor SVD: Statistical and Computational Limits

Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

Optimal Linear Codes with a Local-Error-Correction Property

Simple, Efficient, and Neural Algorithms for Sparse Coding

Being Robust (in High Dimensions) Can Be Practical

Autoencoding Variational Inference For Topic Models

How to Escape Saddle Points Efficiently

Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)

Controlling edge dynamics in complex networks

Generalization and Equilibrium in Generative Adversarial Nets (GANs)

A geometric analysis of subspace clustering with outliers

Benchmarks for single-phase flow in fractured porous media

Bridging the Gap Between Value and Policy Based Reinforcement Learning

A First Order Method for Solving Convex Bi-Level Optimization Problems

Sparse principal component analysis and iterative thresholding

Algorithmic decision making and the cost of fairness

Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models

SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group

Efficient variational quantum simulator incorporating active error minimisation

Cubical Type Theory: a constructive interpretation of the univalence axiom

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives

Characterizing Quantum Supremacy in Near-Term Devices

Energy-based Generative Adversarial Network

Structure-based control of complex networks with nonlinear dynamics

Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

QuTiP: An open-source Python framework for the dynamics of open quantum systems

Simulation-based optimal Bayesian experimental design for nonlinear systems