[an error occurred while processing this directive]<meta name="keywords" content="Department of Computer Science, publications, by date, Algorithms At Large"></meta><meta name="description" content="Publications, by date,Algorithms At Large, Department of Computer Science, Oxford"></meta><title>Department of Computer Science: Algorithms At Large: Publications
</title><style type="text/css">
			  .btn-toolbar::after, .btn-toolbar::before
			  {
			    content: " ";
			    display: table;
			  }

			
			.btn-toolbar
			{
			    margin-bottom: 2em;
			}

			  .btn-toolbar::after, .btn-group::after
			  {
			    clear: both;
			  }


			.btn-toolbar .btn, .btn-toolbar .btn-group
			  {
			    float: left;
			}
			
			.btn-group
			  {
			    display: inline-block;
			    position: relative;
			    vertical-align: middle;
			}

			  .btn-group > .btn:first-child:not(:last-child)
			  {
			    border-bottom-right-radius: 0;
			    border-top-right-radius: 0;
			}
			
			.btn-group > .btn:first-child
			  {
			    margin-left: 0;
			}

			.btn-group > .btn
			  {
			    float: left;
			    position: relative;
			}

			  .btn-group > .btn:not(:first-child):not(:last-child)
			  {
			    border-radius: 0;
			}
			
			  .btn-group > .btn:last-child:not(:first-child)
			  {
			    border-bottom-left-radius: 0;
			    border-top-left-radius: 0;
			}
			
			.btn-group .btn + .btn, .btn-group .btn + .btn-group, .btn-group .btn-group + .btn, .btn-group .btn-group + .btn-group
			  {
			    margin-left: -2px;
			}
			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/research/">Research</a></li><li><a href="/research/ai_ml/">Artificial Intelligence and Machine Learning</a></li><li><a href="/research/ai_ml/activities.html">activities</a></li><li><a href="/activities/algorithmsatlarge/">Algorithms At Large</a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Algorithms At Large: Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/activities/publications/date/algorithmsatlarge.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/activities/publications/title/algorithmsatlarge.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/activities/publications/type/algorithmsatlarge.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/activities/publications/bibtex/algorithmsatlarge.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[1] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Bayesian Multi&#x2212;Scale Optimistic Optimization </strong> </p>
	    <p class="publicationAuthors"> <em> Ziyu Wang&#x201a; Babak Shakibi&#x201a; Lin Jin and Nando de Freitas  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Artificial Intelligence and Statistics (AISTATS)</em>.
        
                Pages 1005&#x2212;1014.
            2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8435-abstract.html">
			Details <span class="sr-only" > about <em> Bayesian Multi&#x2212;Scale Optimistic Optimization  </em></span> </a> |
			<a href="/publications/publication8435.bib">
			BibTeX  <span class="sr-only" > data for <em> Bayesian Multi&#x2212;Scale Optimistic Optimization  </em></span>   </a>
			
			
					| <a href="http://jmlr.org/proceedings/papers/v33/wang14d.pdf"> Download (pdf)  <span class="sr-only" > of <em> Bayesian Multi&#x2212;Scale Optimistic Optimization  </em></span>   </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[2] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Linear and Parallel Learning for Markov Random Fields </strong> </p>
	    <p class="publicationAuthors"> <em> Yariv Dror Mizrahi&#x201a; Misha Denil and Nando de Freitas  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            International Conference on Machine Learning (ICML)</em>.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8647-abstract.html">
			Details <span class="sr-only" > about <em> Linear and Parallel Learning for Markov Random Fields  </em></span> </a> |
			<a href="/publications/publication8647.bib">
			BibTeX  <span class="sr-only" > data for <em> Linear and Parallel Learning for Markov Random Fields  </em></span>   </a>
			
			
					| <a href="http://www.cs.ox.ac.uk/people/nando.defreitas/publications/LAP.pdf"> Download (pdf)  <span class="sr-only" > of <em> Linear and Parallel Learning for Markov Random Fields  </em></span>   </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[3] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Herded Gibbs Sampling </strong> </p>
	    <p class="publicationAuthors"> <em> Luke Bornn&#x201a; Yutian Chen&#x201a; Nando de Freitas&#x201a; Mareija Eskelin&#x201a; Jing Fang and Max Welling  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            International Conference on Learning Representations (ICLR)</em>.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication7206-abstract.html">
			Details <span class="sr-only" > about <em> Herded Gibbs Sampling  </em></span> </a> |
			<a href="/publications/publication7206.bib">
			BibTeX  <span class="sr-only" > data for <em> Herded Gibbs Sampling  </em></span>   </a>
			
			
					| <a href="http://openreview.net/document/a7ca8bba-732c-4104-83a3-1956c3b5c3a6"> Link <span class="sr-only" > to <em> Herded Gibbs Sampling  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[4] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Consistency of Online Random Forests </strong> </p>
	    <p class="publicationAuthors"> <em> Misha Denil&#x201a; David Matheson and Nando de Freitas  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            International Conference on Machine Learning (ICML)</em>.
        
                Pages 1256&#x2013;&#x2212;1264.
            2013.
        </p> <p
            class="publicationNote"> JMLR &CPW 28 (3): 1256&#x2013;1264&#x201a; 2013</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication7204-abstract.html">
			Details <span class="sr-only" > about <em> Consistency of Online Random Forests  </em></span> </a> |
			<a href="/publications/publication7204.bib">
			BibTeX  <span class="sr-only" > data for <em> Consistency of Online Random Forests  </em></span>   </a>
			
			
					| <a href="http://jmlr.org/proceedings/papers/v28/denil13.pdf"> Download (pdf)  <span class="sr-only" > of <em> Consistency of Online Random Forests  </em></span>   </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[5] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations </strong> </p>
	    <p class="publicationAuthors"> <em> Nando de Freitas&#x201a; Alex Smola and Masrour Zoghi  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            International Conference on Machine Learning (ICML)</em>.
        2012.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication7208-abstract.html">
			Details <span class="sr-only" > about <em> Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations  </em></span> </a> |
			<a href="/publications/publication7208.bib">
			BibTeX  <span class="sr-only" > data for <em> Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations  </em></span>   </a>
			
			
					| <a href="http://icml.cc/discuss/2012/853.html"> Link <span class="sr-only" > to <em> Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[6] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            An Introduction to MCMC for Machine Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Christophe Andrieu&#x201a; Nando de Freitas&#x201a; Arnaud Doucet and Michael I. Jordan  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Machine Learning</em>.
        
            Vol. 50.
        
            No. 1&#x2212;2.
        
                Pages 5&#x2212;43.
            2003.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication7533-abstract.html">
			Details <span class="sr-only" > about <em> An Introduction to MCMC for Machine Learning  </em></span> </a> |
			<a href="/publications/publication7533.bib">
			BibTeX  <span class="sr-only" > data for <em> An Introduction to MCMC for Machine Learning  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/10.1023/A:1020281327116">
		DOI (10.1023/A:1020281327116)
		</a> 
					| <a href="http://dx.doi.org/10.1023/A%3A1020281327116"> Link <span class="sr-only" > to <em> An Introduction to MCMC for Machine Learning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li></ul></div><div class="col-xs-12 col-md-3 col-md-pull-9 side-menu-col">[an error occurred while processing this directive]</div></div></div>[an error occurred while processing this directive]