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1. Regret analysis of stochastic and nonstochastic multi-armed bandit problems
by Bubeck, Sébastien and Cesa-Bianchi, Nicolò
Foundations and trends in machine learning, ISSN 1935-8237, 2012, Volume 5, Issue 1, pp. 1 - 122
Foundations | Balancing | Placement | Tradeoffs | Machine learning | Trends | Stochasticity | Optimization
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2. Convex optimization: Algorithms and complexity
by Bubeck, Sébastien
Foundations and trends in machine learning, ISSN 1935-8237, 2015, Volume 8, Issue 3-4, pp. 231 - 357
Computational geometry | Algorithms | Machine learning | Convexity | Stochasticity | Descent | Optimization | Complexity
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3. Full Text Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo
by Bubeck, Sébastien and Eldan, Ronen and Lehec, Joseph
Discrete & computational geometry, ISSN 0179-5376, 6/2018, Volume 59, Issue 4, pp. 757 - 783
68W20 | Computational Mathematics and Numerical Analysis | Langevin Monte Carlo | Rapidly-mixing random walks | Log-concave measures | Mathematics | Sampling and optimization | 68W25 | Combinatorics | 47N10 | Computer Science, Theory & Methods | Physical Sciences | Technology | Computer Science | Science & Technology | Computer science | Markov processes | Algorithms | Markov chains | Monte Carlo simulation | Probability
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4. Full Text Pure exploration in finitely-armed and continuous-armed bandits
by Bubeck, Sébastien and Munos, Rémi and Stoltz, Gilles
Theoretical computer science, ISSN 0304-3975, 2011, Volume 412, Issue 19, pp. 1832 - 1852
Multi-armed bandits | Efficient exploration | Continuous-armed bandits | Simple regret | Lower bounds | Metric space | Upper bounds | Mathematical analysis | C (programming language) | Links | On-line systems | Exploration | Criteria | domain_shs.eco.eco | Economics and Finance | Humanities and Social Sciences | Economy and decision science
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5. Full Text DETECTION OF CORRELATIONS
by Ery Arias-Castro and Sébastien Bubeck and Gábor Lugosi
The Annals of statistics, ISSN 0090-5364, 2/2012, Volume 40, Issue 1, pp. 412 - 435
Minimax | Null hypothesis | Cardinality | Correlations | Eigenvalues | Ratio test | Mathematical vectors | Random variables | Statistics | Signal detection | Sparse covariance matrix | Minimax detection | Generalized likelihood ratio test | Scan statistic | Bayesian detection | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Hypothesis testing | Correlation analysis | Normal distribution | minimax detection | generalized likelihood ratio test | 62F03 | scan statistic | 62F05
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6. Full Text From trees to seeds: On the inference of the seed from large trees in the uniform attachment model
by Bubeck, Sébastien and Eldan, Ronen and Mossel, Elchanan and Rácz, Miklós Z
Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, ISSN 1350-7265, 11/2017, Volume 23, Issue 4A, pp. 2887 - 2916
Statistical inference | Random trees | Uniform attachment | Seed tree | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology
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7. Full Text On the Local Profiles of Trees
by Bubeck, Sébastien and Linial, Nati
Journal of graph theory, ISSN 0364-9024, 02/2016, Volume 81, Issue 2, pp. 109 - 119
Physical Sciences | Mathematics | Science & Technology
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8. Full Text Regret in Online Combinatorial Optimization
by Jean-Yves Audibert and Sébastien Bubeck and Gábor Lugosi
Mathematics of operations research, ISSN 0364-765X, 2/2014, Volume 39, Issue 1, pp. 31 - 45
combinatorial optimization | mirror descent | online optimization | multi-armed bandits | minimax regret | Minimax | Mathematical theorems | Probability distributions | Machine learning | Games | Legendre functions | Coordinate systems | Mathematical vectors | Combinatorial optimization | Online learning | Mirror descent | Multi-armed bandits | Online optimization | Minimax regret | Operations Research & Management Science | Physical Sciences | Mathematics | Mathematics, Applied | Technology | Science & Technology | Linear programming | Online education | Mathematical optimization | Analysis | Studies | Optimization algorithms | Decision analysis | Maximin strategies
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9. Full Text Detecting positive correlations in a multivariate sample
by ERY ARIAS-CASTRO and SÉBASTIEN BUBECK and GÁBOR LUGOSI
Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, ISSN 1350-7265, 2/2015, Volume 21, Issue 1, pp. 209 - 241
High-dimensional data | Sparse covariance matrix | Minimax detection | Sparse detection | Bayesian detection | Random geometric graphs | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | sparse detection | minimax detection | random geometric graphs | sparse covariance matrix | high-dimensional data
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10. Full Text Detecting markov random fields hidden in white noise
by Arias-Castro, Ery and Bubeck, Sébastien and Lugosi, Gábor and Verzelen, Nicolas
Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, ISSN 1350-7265, 11/2018, Volume 24, Issue 4B, pp. 3628 - 3656
Image analysis | Minimax test | Combinatorial testing | Detection | Markov random fields | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Applications | Statistics
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11. Full Text Basic models and questions in statistical network analysis
by Rácz, Miklós Z and Bubeck, Sébastien
Statistics surveys, ISSN 1935-7516, 2017, Volume 11, pp. 1 - 47
Networks | Preferential attachment | Random graphs | Evolving random graphs | Stochastic block model | Community detection | Statistical inference | Random trees | Random geometric graphs
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12. Full Text Entropic CLT and Phase Transition in High-dimensional Wishart Matrices
by Bubeck, Sébastien and Ganguly, Shirshendu
International mathematics research notices, ISSN 1073-7928, 01/2018, Volume 2018, Issue 2, pp. 588 - 606
Physical Sciences | Mathematics | Science & Technology
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13. Full Text Testing for high‐dimensional geometry in random graphs
by Bubeck, Sébastien and Ding, Jian and Eldan, Ronen and Rácz, Miklós Z
Random structures & algorithms, ISSN 1042-9832, 10/2016, Volume 49, Issue 3, pp. 503 - 532
high‐dimensional geometric structure | random graphs | random geometric graphs | hypothesis testing | signed triangles | high-dimensional geometric structure | Physical Sciences | Technology | Computer Science | Mathematics | Computer Science, Software Engineering | Mathematics, Applied | Science & Technology | Null hypothesis | Mathematical analysis | Constants | Graphs | Boundaries | Vectors (mathematics) | Computational efficiency | Optimization
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14. Full Text The Entropic Barrier: Exponential Families, Log-Concave Geometry, and Self-Concordance
by Bubeck, Sebastien and Eldan, Ronen
Mathematics of operations research, ISSN 0364-765X, 2/2019, Volume 44, Issue 1, pp. 264 - 276
linear optimization | interior-point methods | self-concordant barrier | Operations Research & Management Science | Physical Sciences | Mathematics | Mathematics, Applied | Technology | Science & Technology | Convex sets | Algorithms | Research | Mathematical research | Mathematical optimization | Geometry | Mathematical problems | Cones | Theoretical mathematics | Convex analysis
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15. Full Text Finding Adam in random growing trees
by Bubeck, Sébastien and Devroye, Luc and Lugosi, Gábor
Random structures & algorithms, ISSN 1042-9832, 03/2017, Volume 50, Issue 2, pp. 158 - 172
root‐finding algorithms | random trees | polya urns | root-finding algorithms | Physical Sciences | Technology | Computer Science | Mathematics | Computer Science, Software Engineering | Mathematics, Applied | Science & Technology | Analysis | Algorithms | Trees | Surface hardness | Paper | Mathematical models | Attachment | Polynomials | Optimization
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16. Full Text Bandits With Heavy Tail
by Bubeck, Sebastien and Cesa-Bianchi, Nicolo and Lugosi, Gabor
IEEE transactions on information theory, ISSN 0018-9448, 11/2013, Volume 59, Issue 11, pp. 7711 - 7717
stochastic multi-armed bandit | Robustness | Probability distribution | Random variables | Electronic mail | Indexes | regret bounds | Standards | Equations | Heavy-tailed distributions | robust estimators | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Signal and communications theory | Sampling, quantization | Telecommunications and information theory | Exact sciences and technology | Applied sciences | Information, signal and communications theory | Information theory | Gaussian distribution | Research | Stochastic processes | Analysis | Stochastic models | Estimating techniques | Sampling | Normal distribution
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17. Full Text Lil' UCB: An optimal exploration algorithm for multi-armed bandits
by Jamieson, Kevin and Malloy, Matthew and Nowak, Robert and Bubeck, Sébastien
Journal of machine learning research, ISSN 1532-4435, 2014, Volume 35, pp. 423 - 439
Iterated logarithm | Upper confidence bound (UCB) | Multi-armed bandit
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18. Kernel-based methods for bandit convex optimization
by Bubeck, Sébastien and Lee, Yin Tat and Eldan, Ronen
Proceedings of the Annual ACM Symposium on Theory of Computing, ISSN 0737-8017, 06/2017, Volume 128415, pp. 72 - 85
Convex optimization | Online learning | Multi-armed bandit
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19. Full Text X-armed bandits
by Bubeck, Sébastien and Munos, Rémi and Stoltz, Gilles and Szepesvári, Csaba
Journal of machine learning research, ISSN 1532-4435, 05/2011, Volume 12, pp. 1655 - 1695
Minimax rates | Bandits with infinitely many arms | Regret bounds | Optimistic online optimization | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Economics and Finance | domain_shs.eco.eco | Mathematics | Optimization and Control | Humanities and Social Sciences | Machine Learning | Statistics | Statistics Theory
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20. Full Text Coordination without communication: optimal regret in two players multi-armed bandits
by Bubeck, Sébastien and Budzinski, Thomas
02/2020
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