惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Cisco Talos Blog
Cisco Talos Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
爱范儿
爱范儿
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Jina AI
Jina AI
雷峰网
雷峰网
The Register - Security
The Register - Security
The Cloudflare Blog
博
博客园 - 【当耐特】
M
MIT News - Artificial intelligence
I
InfoQ
博
博客园 - 三生石上(FineUI控件)
H
Help Net Security
博
博客园 - 司徒正美
Vercel News
Vercel News
WordPress大学
WordPress大学
S
SegmentFault 最新的问题
云风的 BLOG
云风的 BLOG
B
Blog
Google DeepMind News
Google DeepMind News
B
Blog RSS Feed
L
LangChain Blog
人人都是产品经理
人人都是产品经理
GbyAI
GbyAI
T
The Blog of Author Tim Ferriss
T
Tailwind CSS Blog
aimingoo的专栏
aimingoo的专栏
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Recorded Future
Recorded Future
小众软件
小众软件
Martin Fowler
Martin Fowler
罗
罗磊的独立博客
Stack Overflow Blog
Stack Overflow Blog
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知
酷 壳 – CoolShell
酷 壳 – CoolShell
腾
腾讯CDC
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
Apple Machine Learning Research
Apple Machine Learning Research
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
博
博客园 - Franky
Hugging Face - Blog
Hugging Face - Blog
Y
Y Combinator Blog
V
Visual Studio Blog
F
Fortinet All Blogs
Microsoft Azure Blog
Microsoft Azure Blog
大猫的无限游戏
大猫的无限游戏
Engineering at Meta
Engineering at Meta
N
Netflix TechBlog - Medium
V
V2EX
Blog — PlanetScale
Blog — PlanetScale

Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

[edit]

Volume 35: Conference on Learning Theory, 13-15 June 2014, Barcelona, Spain

[edit]

Editors: Maria Florina Balcan, Vitaly Feldman, Csaba Szepesvári

[bib][citeproc]

Contents:

  • Preface
  • Regular Papers
  • Open Problems

Filter Authors: Filter Titles:

Preface

Preface

; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1-2

[abs][Download PDF]

Regular Papers

Open Problems

Open Problem: Tightness of maximum likelihood semidefinite relaxations

Afonso S. Bandeira, Yuehaw Khoo, Amit Singer; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1265-1267

[abs][Download PDF]

Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers

Balázs Kégl; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1268-1275

[abs][Download PDF]

Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem

Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1276-1279

[abs][Download PDF]

Open Problem: Tensor Decompositions: Algorithms up to the Uniqueness Threshold?

Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1280-1282

[abs][Download PDF]

Open Problem: The Statistical Query Complexity of Learning Sparse Halfspaces

Vitaly Feldman; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1283-1289

[abs][Download PDF]

Open Problem: Online Local Learning

Paul Christiano; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1290-1294

[abs][Download PDF]

Open Problem: Shifting Experts on Easy Data

Manfred K. Warmuth, Wouter M. Koolen; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1295-1298

[abs][Download PDF]

Open Problem: Efficient Online Sparse Regression

Satyen Kale; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1299-1301

[abs][Download PDF]

Distribution-independent Reliable Learning

Varun Kanade, Justin Thaler; Proceedings of The 27th Conference on Learning Theory, PMLR 35:3-24

[abs][Download PDF]

Learning without concentration

Shahar Mendelson; Proceedings of The 27th Conference on Learning Theory, PMLR 35:25-39

[abs][Download PDF]

Uniqueness of Ordinal Embedding

Matthäus Kleindessner, Ulrike Luxburg; Proceedings of The 27th Conference on Learning Theory, PMLR 35:40-67

[abs][Download PDF]

Bayes-Optimal Scorers for Bipartite Ranking

Aditya Krishna Menon, Robert C. Williamson; Proceedings of The 27th Conference on Learning Theory, PMLR 35:68-106

[abs][Download PDF]

Multiarmed Bandits With Limited Expert Advice

Satyen Kale; Proceedings of The 27th Conference on Learning Theory, PMLR 35:107-122

[abs][Download PDF]

Learning Sparsely Used Overcomplete Dictionaries

Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon; Proceedings of The 27th Conference on Learning Theory, PMLR 35:123-137

[abs][Download PDF]

Community Detection via Random and Adaptive Sampling

Se-Young Yun, Alexandre Proutiere; Proceedings of The 27th Conference on Learning Theory, PMLR 35:138-175

[abs][Download PDF]

A second-order bound with excess losses

Pierre Gaillard, Gilles Stoltz, Tim van Erven; Proceedings of The 27th Conference on Learning Theory, PMLR 35:176-196

[abs][Download PDF]

Logistic Regression: Tight Bounds for Stochastic and Online Optimization

Elad Hazan, Tomer Koren, Kfir Y. Levy; Proceedings of The 27th Conference on Learning Theory, PMLR 35:197-209

[abs][Download PDF]

Higher-Order Regret Bounds with Switching Costs

Eyal Gofer; Proceedings of The 27th Conference on Learning Theory, PMLR 35:210-243

[abs][Download PDF]

The Complexity of Learning Halfspaces using Generalized Linear Methods

Amit Daniely, Nati Linial, Shai Shalev-Shwartz; Proceedings of The 27th Conference on Learning Theory, PMLR 35:244-286

[abs][Download PDF]

Optimal learners for multiclass problems

Amit Daniely, Shai Shalev-Shwartz; Proceedings of The 27th Conference on Learning Theory, PMLR 35:287-316

[abs][Download PDF]

Stochastic Regret Minimization via Thompson Sampling

Sudipto Guha, Kamesh Munagala; Proceedings of The 27th Conference on Learning Theory, PMLR 35:317-338

[abs][Download PDF]

Approachability in unknown games: Online learning meets multi-objective optimization

Shie Mannor, Vianney Perchet, Gilles Stoltz; Proceedings of The 27th Conference on Learning Theory, PMLR 35:339-355

[abs][Download PDF]

Belief propagation, robust reconstruction and optimal recovery of block models

Elchanan Mossel, Joe Neeman, Allan Sly; Proceedings of The 27th Conference on Learning Theory, PMLR 35:356-370

[abs][Download PDF]

Sample Compression for Multi-label Concept Classes

Rahim Samei, Pavel Semukhin, Boting Yang, Sandra Zilles; Proceedings of The 27th Conference on Learning Theory, PMLR 35:371-393

[abs][Download PDF]

Finding a most biased coin with fewest flips

Karthekeyan Chandrasekaran, Richard Karp; Proceedings of The 27th Conference on Learning Theory, PMLR 35:394-407

[abs][Download PDF]

Volumetric Spanners: an Efficient Exploration Basis for Learning

Elad Hazan, Zohar Karnin, Raghu Meka; Proceedings of The 27th Conference on Learning Theory, PMLR 35:408-422

[abs][Download PDF]

lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits

Kevin Jamieson, Matthew Malloy, Robert Nowak, Sébastien Bubeck; Proceedings of The 27th Conference on Learning Theory, PMLR 35:423-439

[abs][Download PDF]

An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning

Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes; Proceedings of The 27th Conference on Learning Theory, PMLR 35:440-460

[abs][Download PDF]

On the Complexity of A/B Testing

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier; Proceedings of The 27th Conference on Learning Theory, PMLR 35:461-481

[abs][Download PDF]

Elicitation and Identification of Properties

Ingo Steinwart, Chloé Pasin, Robert Williamson, Siyu Zhang; Proceedings of The 27th Conference on Learning Theory, PMLR 35:482-526

[abs][Download PDF]

The sample complexity of agnostic learning under deterministic labels

Shai Ben-David, Ruth Urner; Proceedings of The 27th Conference on Learning Theory, PMLR 35:527-542

[abs][Download PDF]

Density-preserving quantization with application to graph downsampling

Morteza Alamgir, Gábor Lugosi, Ulrike Luxburg; Proceedings of The 27th Conference on Learning Theory, PMLR 35:543-559

[abs][Download PDF]

A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates

Yudong Chen, Xinyang Yi, Constantine Caramanis; Proceedings of The 27th Conference on Learning Theory, PMLR 35:560-604

[abs][Download PDF]

Efficiency of conformalized ridge regression

Evgeny Burnaev, Vladimir Vovk; Proceedings of The 27th Conference on Learning Theory, PMLR 35:605-622

[abs][Download PDF]

Most Correlated Arms Identification

Che-Yu Liu, Sébastien Bubeck; Proceedings of The 27th Conference on Learning Theory, PMLR 35:623-637

[abs][Download PDF]

Fast matrix completion without the condition number

Moritz Hardt, Mary Wootters; Proceedings of The 27th Conference on Learning Theory, PMLR 35:638-678

[abs][Download PDF]

Learning Coverage Functions and Private Release of Marginals

Vitaly Feldman, Pravesh Kothari; Proceedings of The 27th Conference on Learning Theory, PMLR 35:679-702

[abs][Download PDF]

Computational Limits for Matrix Completion

Moritz Hardt, Raghu Meka, Prasad Raghavendra, Benjamin Weitz; Proceedings of The 27th Conference on Learning Theory, PMLR 35:703-725

[abs][Download PDF]

Robust Multi-objective Learning with Mentor Feedback

Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudík, Robert E. Schapire, Aleksandrs Slivkins; Proceedings of The 27th Conference on Learning Theory, PMLR 35:726-741

[abs][Download PDF]

Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability

Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan; Proceedings of The 27th Conference on Learning Theory, PMLR 35:742-778

[abs][Download PDF]

New Algorithms for Learning Incoherent and Overcomplete Dictionaries

Sanjeev Arora, Rong Ge, Ankur Moitra; Proceedings of The 27th Conference on Learning Theory, PMLR 35:779-806

[abs][Download PDF]

Online Linear Optimization via Smoothing

Jacob Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari; Proceedings of The 27th Conference on Learning Theory, PMLR 35:807-823

[abs][Download PDF]

Learning Mixtures of Discrete Product Distributions using Spectral Decompositions

Prateek Jain, Sewoong Oh; Proceedings of The 27th Conference on Learning Theory, PMLR 35:824-856

[abs][Download PDF]

Localized Complexities for Transductive Learning

Ilya Tolstikhin, Gilles Blanchard, Marius Kloft; Proceedings of The 27th Conference on Learning Theory, PMLR 35:857-884

[abs][Download PDF]

On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems

Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, Robert C. Williamson; Proceedings of The 27th Conference on Learning Theory, PMLR 35:885-902

[abs][Download PDF]

Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results

Jiaming Xu, Laurent Massoulié, Marc Lelarge; Proceedings of The 27th Conference on Learning Theory, PMLR 35:903-920

[abs][Download PDF]

Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression

Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan; Proceedings of The 27th Conference on Learning Theory, PMLR 35:921-948

[abs][Download PDF]

Follow the Leader with Dropout Perturbations

Tim Van Erven, Wojciech Kotłowski, Manfred K. Warmuth; Proceedings of The 27th Conference on Learning Theory, PMLR 35:949-974

[abs][Download PDF]

Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms

Stefan Magureanu, Richard Combes, Alexandre Proutiere; Proceedings of The 27th Conference on Learning Theory, PMLR 35:975-999

[abs][Download PDF]

Sample Complexity Bounds on Differentially Private Learning via Communication Complexity

Vitaly Feldman, David Xiao; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1000-1019

[abs][Download PDF]

Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations

H. Brendan McMahan, Francesco Orabona; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1020-1039

[abs][Download PDF]

Principal Component Analysis and Higher Correlations for Distributed Data

Ravi Kannan, Santosh Vempala, David Woodruff; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1040-1057

[abs][Download PDF]

Compressed Counting Meets Compressed Sensing

Ping Li, Cun-Hui Zhang, Tong Zhang; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1058-1077

[abs][Download PDF]

The Geometry of Losses

Robert C. Williamson; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1078-1108

[abs][Download PDF]

Resourceful Contextual Bandits

Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1109-1134

[abs][Download PDF]

The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures

Joseph Anderson, Mikhail Belkin, Navin Goyal, Luis Rademacher, James Voss; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1135-1164

[abs][Download PDF]

Near-Optimal Herding

Nick Harvey, Samira Samadi; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1165-1182

[abs][Download PDF]

Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians

Constantinos Daskalakis, Gautam Kamath; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1183-1213

[abs][Download PDF]

Online Learning with Composite Loss Functions

Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1214-1231

[abs][Download PDF]

Online Non-Parametric Regression

Alexander Rakhlin, Karthik Sridharan; Proceedings of The 27th Conference on Learning Theory, PMLR 35:1232-1264

[abs][Download PDF]

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。