We describe efficient constructions of small probability spaces that approximate the independent distribution for general random variables. Previous work on efficient constructions concentrate on approximations of the independent distribution for the special case of uniform boolean-valued random variables. Our results yield efficient constructions of small sets with low discrepancy in high dimensional space and have applications to de-randomizing randomized algorithms.
|Original language||American English|
|Title of host publication||Proceedings of the 24th Annual ACM Symposium on Theory of Computing, STOC 1992|
|Publisher||Association for Computing Machinery|
|Number of pages||7|
|State||Published - 1 Jul 1992|
|Event||24th Annual ACM Symposium on Theory of Computing, STOC 1992 - Victoria, Canada|
Duration: 4 May 1992 → 6 May 1992
|Name||Proceedings of the Annual ACM Symposium on Theory of Computing|
|Conference||24th Annual ACM Symposium on Theory of Computing, STOC 1992|
|Period||4/05/92 → 6/05/92|
Bibliographical noteFunding Information:
search partially supported by grant No. S9-00312 from the United States-Israel Binational Science Foundation (BSF), Jerusalem, Israel. $Intemationaf Computer Science Institute, 1947 Center Street, Berkeley, Cfllfomia 947o4, research partially supported by NSF operating grant CCR-9016468 and by grant No. 89-00312 from the United States-Israel Binationaf Science Foundation (BSF), Jerusalem, Israel. $Department of Computer Science, Hebrew University, Jerusalem, Israel, Supported by the Wolfson researeh awards administered by the Israeli Academy of Sciences and Humanities and by USA-Israel BSF S9-00126 f Department of Mathematics, supported by NSF Permission to copy without fee ell or part of this material is granted provided that the copias are not made or distributed for direct commercial advantage, the ACM copyright notica and tha title of the publication and its date appear, and notica is givan that copying is by permission of the Association for Computing Machinery. To copy otherwise, or to republish, requires a faa and/or specific permission. 24th ANNUAL ACM STOC - 5/92/VICTORIA, B.C., CANADA @1992 ACM 0.89791-51 2-7\92/0004/OOJ O...$J .50
© 1992 ACM.