@article{BB20,
    title={Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms},
    author={Thomas B. Berrett and Cristina Butucea},
    journal = {CoRR},
    year={2020},
    volume    = {abs/2005.12601},
    note = {To appear in {NeurIPS'20}.},
  bibbase_note = {<div class="well well-small bibbase"><span class="bluecite">[BB20]</span> Obtains, among others, a tight lower bound for identity testing (goodness-of-fit) under local privacy. This lower bound applies to sequentially interactive protocols, and is slightly more general than those of [AJM20,ACLST20] for the same problem, in that it provides an explicit dependence on the reference distribution $\mathbf{q}$ (while the other two works focus on the worst-case $\mathbf{q}$, i.e., the uniform distribution).</div>}
}

{"_id":"Aktt72ZopzvEi4R5H","bibbaseid":"berrett-butucea-locallyprivatenonasymptotictestingofdiscretedistributionsisfasterusinginteractivemechanisms-2020","authorIDs":[],"author_short":["Berrett, T. B.","Butucea, C."],"bibdata":{"bibtype":"article","type":"article","title":"Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms","author":[{"firstnames":["Thomas","B."],"propositions":[],"lastnames":["Berrett"],"suffixes":[]},{"firstnames":["Cristina"],"propositions":[],"lastnames":["Butucea"],"suffixes":[]}],"journal":"CoRR","year":"2020","volume":"abs/2005.12601","note":"To appear in NeurIPS'20.","bibbase_note":"<div class=\"well well-small bibbase\"><span class=\"bluecite\">[BB20]</span> Obtains, among others, a tight lower bound for identity testing (goodness-of-fit) under local privacy. This lower bound applies to sequentially interactive protocols, and is slightly more general than those of [AJM20,ACLST20] for the same problem, in that it provides an explicit dependence on the reference distribution $\\mathbf{q}$ (while the other two works focus on the worst-case $\\mathbf{q}$, i.e., the uniform distribution).</div>","bibtex":"@article{BB20,\n title={Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms},\n author={Thomas B. Berrett and Cristina Butucea},\n journal = {CoRR},\n year={2020},\n volume = {abs/2005.12601},\n note = {To appear in {NeurIPS'20}.},\n bibbase_note = {<div class=\"well well-small bibbase\"><span class=\"bluecite\">[BB20]</span> Obtains, among others, a tight lower bound for identity testing (goodness-of-fit) under local privacy. This lower bound applies to sequentially interactive protocols, and is slightly more general than those of [AJM20,ACLST20] for the same problem, in that it provides an explicit dependence on the reference distribution $\\mathbf{q}$ (while the other two works focus on the worst-case $\\mathbf{q}$, i.e., the uniform distribution).</div>}\n}\n\n","author_short":["Berrett, T. B.","Butucea, C."],"key":"BB20","id":"BB20","bibbaseid":"berrett-butucea-locallyprivatenonasymptotictestingofdiscretedistributionsisfasterusinginteractivemechanisms-2020","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"article","biburl":"http://www.cs.columbia.edu/~ccanonne/tutorial-focs2020/publications-annotated.bib","creationDate":"2020-11-08T21:08:20.195Z","downloads":0,"keywords":[],"search_terms":["locally","private","non","asymptotic","testing","discrete","distributions","faster","using","interactive","mechanisms","berrett","butucea"],"title":"Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms","year":2020,"dataSources":["EYbwRcMzLdr2qsboR","SK4pKeSrqk4BzgaZs"]}