| 000 | 03392n a2200457#a 4500 | ||
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| 001 | 36914 | ||
| 003 | P5A | ||
| 005 | 20221213140549.0 | ||
| 007 | cr cuuuuuauuuu | ||
| 008 | 160617s2016 bl por d | ||
| 035 | _aocm51338542 | ||
| 040 |
_aP5A _cP5A |
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| 090 | _acs | ||
| 100 | 1 |
_aSchmidt, Mark _u(University of British Columbia, CA) _97610 |
|
| 245 | 1 | 0 |
_aStochastic Convex Optimization Methods In Machine Learning/ _cMark Schmidt. |
| 246 | 1 | _aMinicurso: Stochastic Convex Optimization Methods In Machine Learning | |
| 260 |
_aRio de Janeiro: _bIMPA, _c2016. |
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| 300 | _aMini Course - 8 classes | ||
| 500 | _aMini Course 3 We first review classic algorithms and complexity results for stochastic methods for convex optimization, and then turn our attention to the wide variety of exponentially-convergent algorithms that have been developed in the last four years. Topics will include finite-time convergence rates of classic stochastic gradient methods, stochastic average/variance-reduced gradient methods, primal-dual methods, proximal operators, acceleration, alternating minimization, non-uniform sampling, and a discussion of parallelization and non-convex problems. Applications in the field of machine learning will emphasized, but the principles we cover in this course are applicable to many fields . | ||
| 650 | 0 | 4 |
_aMatematica. _2larpcal _919899 |
| 697 |
_aCongressos e Seminários. _923755 |
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| 711 | 2 |
_aSVAN 2016 _c(IMPA, Rio de Janeiro, Brazil) |
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| 856 | 4 |
_zPRESENTATION 1 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L1.pdf |
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| 856 | 4 |
_zPRESENTATION 2 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L2.pdf |
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| 856 | 4 |
_zPRESENTATION 3 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L3.pdf |
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| 856 | 4 |
_zPRESENTATION 4 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L4.pdf |
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| 856 | 4 |
_zPRESENTATION 5A _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L5a.pdf |
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| 856 | 4 |
_zPRESENTATION 5B _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L5b.pdf |
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| 856 | 4 |
_zPRESENTATION 6 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L6.pdf |
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| 856 | 4 |
_zPRESENTATION 7 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L7.pdf |
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| 856 | 4 |
_zPRESENTATION 8 _uhttp://www.cs.ubc.ca/~schmidtm/SVAN16/L8.pdf |
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| 856 | 4 |
_zCLASS 1 (VIDEO) _uhttps://www.youtube.com/watch?v=p4EnVHSml4U&index=5&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE- |
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| 856 | 4 |
_zCLASS 2 (VIDEO) _uhttps://www.youtube.com/watch?v=-SpWLPnlVWg&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE-&index=6 |
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| 856 | 4 |
_zCLASS 3 (VIDEO) _uhttps://www.youtube.com/watch?v=XdY87jyeQ7Q&index=7&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE- |
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| 856 | 4 |
_zCLASS 4 (VIDEO) _uhttps://www.youtube.com/watch?v=zzIzEcbAb8U&index=8&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE- |
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| 856 | 4 |
_zCLASS 5 (VIDEO) _uhttps://www.youtube.com/watch?v=7cyVxxx8rZA&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE-&index=9 |
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| 856 | 4 |
_zCLASS 6 (VIDEO) _uhttps://www.youtube.com/watch?v=il3rDjaMWfs&index=10&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE- |
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| 856 | 4 |
_zCLASS 7 (VIDEO) _uhttps://www.youtube.com/watch?v=GThR7vpUTTY&index=11&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE- |
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| 856 | 4 |
_zCLASS 8 (VIDEO) _uhttps://www.youtube.com/watch?v=TpnKxfUCeAE&list=PLo4jXE-LdDTTR8sH8rJindqSX9IeobHE-&index=12 |
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| 942 |
_2ddc _cBK |
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| 999 |
_aSTOCHASTIC Convex Optimization Methods In Machine Learning. Mark Schmidt. Rio de Janeiro: IMPA, 2016. Mini Course - 8 classes. DisponÃvel em: <http://www.cs.ubc.ca/~schmidtm/SVAN16/L1.pdf> _c35704 _d35704 |
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