COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Machine Learning Reading Group @ CUED > Stochastic discrete integration

## Stochastic discrete integrationAdd to your list(s) Download to your calendar using vCal - Adrian Weller;Nilesh Tripuraneni (University of Cambridge)
- Thursday 14 January 2016, 14:30-16:00
- Engineering Department, CBL Room 438.
If you have a question about this talk, please contact Yingzhen Li. We will focus most of our effort on understanding the recently proposed WISH algorithm of Ermon, Selman, Gomes and Sabharwal for approximating partition functions and then explain recent extensions of the original work as well as connections to coding theory. The WISH algorithm is a randomized algorithm that, with high probability, gives a constant-factor approximation of a general discrete integral defined over an exponentially large set. WISH estimates partition functions by piecing together MAP solutions to a small number of discrete combinatorial optimization problems subject to randomly generated parity constraints (effectively converting a summation problem into a constrained optimization problem). The talk will assume no prior background but familiarity with the basics of graphical models (i.e. what is an Ising model) and things like basic concentration inequalities (Markov’s Inequality, etc…)/union bounds will be useful; some of these will be reviewed as necessary. Relevant Papers (you don’t need to read before coming): S. Ermon, C. Gomes, A. Sabharwal, B. Selman, Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization. ICML 2013 . D. Achlioptas, P. Jiang, Stochastic Integration via Error-Correcting Codes. UAI 2015 . This talk is part of the Machine Learning Reading Group @ CUED series. ## This talk is included in these lists:- All Talks (aka the CURE list)
- Cambridge Centre for Data-Driven Discovery (C2D3)
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Cambridge University Engineering Department Talks
- Cambridge talks
- Centre for Smart Infrastructure & Construction
- Chris Davis' list
- Engineering Department, CBL Room 438
- Featured lists
- Guy Emerson's list
- Hanchen DaDaDash
- Inference Group Journal Clubs
- Inference Group Summary
- Information Engineering Division seminar list
- Interested Talks
- ML
- Machine Learning Reading Group
- Machine Learning Reading Group @ CUED
- Machine Learning Summary
- Quantum Matter Journal Club
- Required lists for MLG
- School of Technology
- Simon Baker's List
- TQS Journal Clubs
- Trust & Technology Initiative - interesting events
- bld31
- custom
- ndk22's list
- ob366-ai4er
- rp587
- yk373's list
Note that ex-directory lists are not shown. |
## Other listsGenetics Seminar Series 'Expanding Horizons' - Cambridge MedSoc Talks Global Food Security at Cambridge Centre for Molecular Science Informatics ArcDigital and CoDE talks at Anglia Ruskin## Other talksExploring the mechanisms of haematopoietic lineage progression at the single-cell level Value generalization during human avoidance learning Mass Spectrometry An experimental analysis of the effect of Quantitative Easing CANCELLED: Beverly Gage: G-Man: J. Edgar Hoover and the American Century Mechanical performance of wall structures in 3D printing processes: theory, design tools and experiments |