I just got back from NIPS. Kevin Duh was nice enough to forward his "top N" list of NIPS papers; I'll post my own shortly. Thanks Kevin!

"Large Margin Taxonomy Embedding for Document Categorization" - Kilian Weinberger, Olivier Chapelle (Yahoo)

- Suppose you have a multi-class classification problem where you need to assign documents to different nodes in the topic hierarchy. While there are hierarchical classifiers for solving this problem, the authors instead proposes to embed the taxonomy in a continuous space and use regression. The idea is as follows: from a taxonomy, we can compute distances between nodes that characterize the loss of classifying one node when the true class is the other. This pairwise distance matrix is used by multidimensional scaling to create a set of prototype vectors in Euclidean space, one for each class. Then, we train multiple regression that maps training samples to these prototype vectors. However, the problem with this two-stage approach is that the prototypes are computed without regard to the training data, so the solution may be suboptimal for classification. The paper then introduces an objective function that combines both steps: essentially, we constrain the mapping of the training samples and the prototypes to have a large margin.

"Learning taxonomies by Dependence Maximization" - Matthew Blaschko, Arthur Gretton (MPI)

- Our goal is to cluster a dataset and provide a taxonomy that shows the relationship between clusters. The standard solutions are agglomerative/divisive hierarchical clustering. This paper proposes an alternative solution which allows us to use kernels (and is thus related to spectral clustering). The idea is based on a kernel measure of dependence: roughly speaking, if K is the kernel matrix of the original data and L is the kernel matrix of the resulting clustering, the objective max_{L} trace(K*L) is an measures the dependence between samples and clusters and is thus a viable clustering objective. The method gets a taxonomy by formulating L=PYP' where P is a partition matrix (maps cluster to samples) and Y is a positive semi-definite matrix that encodes relationships between clusters.

Fast Prediction on a Tree" - Mark Herbster, Massimiliano Pontil, Sergio Rojas (UCL)

- Graph-based semi-supervised learning needs to scale well with the number of unlabeled samples in order to be truly useful in large data scenarios. This paper presents a method to improve the computational scalability of Laplacian-based methods: First, convert the data graph to a tree (using, e.g. a maximum spanning tree algorithm). Second, they show a fast way to compute the pseudo-inverse of the graph/tree Laplacian in O(m2 + mS), where m is the number of labeled samples and S is the tree diameter. This Laplacian pseudo-inverse corresponds to a kernel, and so one can use, say, a kernel perceptron. to predict on test points. Experiments show that tree approximations to graph did not deteriorate accuracy, while drastically increasing speed.

"Unlabeled data: Now it helps, now it doesn't" - Aarti Singh, Rob Nowak, Jerry Zhu (Wisconsin)

- This is an interesting theoretical paper that analyzes when unlabeled data helps under the cluster assumption. First, the authors argue that asymptotic analysis is unsuitable for analyzing the difference between supervised learning and SSL, and instead uses finite-sample analysis and minimax bounds. Let n be the number of labeled samples, m the number of unlabeled samples, d the feature dimension, and g the margin between two classes (can be positive or negative). The proof is of the form: suppose a clairvoyant supervised learner will full knowledge of the underlying density p(x) has error less than e2(n), and a supervised learner has error greater than e1(n). Then, the error of SSL is no more than e2(n) + O(some function of m). Thus, if O(some function of m) is negligible (and this depends on the exact values of m,d,g,n), then SSL will improve over supervised learning; otherwise, no. In words, the cases where SSL helps is as follows: if the margin g is relatively large compared to the average spacing between labeled points (n^{-1/d}), then supervised learning can discover p(x) accurately and works just as well as SSL. However, if g is small relative to the spacing between labeled points, but large relative to the spacing between unlabeled points (m^{-1/d}), then SSL will beat any supervised learner. In the case that the margin is negative, if -g is larger than (m^{-1/d}), then SSL also wins.

"DiscLDA: Discriminative learning for dimensionality reduction and classification" - Simon Lacoste-Julien, Fei Sha, Michael Jordan (Berkeley/USC)

- Unsupervised topic models have become popular methods for finding latent structures in text documents. These are usually trained by max likelihood, but this may be suboptimal if our final goal is classification. This paper considers the problem of introducing labeled data (e.g. topic labels) into topic models. Recall in Latent Dirichlet Allocation (LDA), foreach each document, we first draw a (k-dimensional) topic mixture from a Dirichlet prior. Then we draw a words according to p(word|topic)p(topic|topic-mixture). We can view each document as a topic simplex. The idea here is to introduce a transformation T on the topic simplex, so that documents with the same label will be mapped close together.

"Modeling the effects of memory on human online sentence processing with particle filters" - Roger Levy (UCSD), Florencia Realia, Tom Griffiths (Berkeley)

- Humans comprehend sentences in an online manner: it is believed that we do incremental parsing as we hear words one at a time. Thus, garden-path sentences are able to catch us off-guard. Moreover, the longer the sentence is before a disambiguation point is reached, the harder it is for humans to recover (digging-in effect). This is a psycholinguistics paper that seeks to explain garden-path and digging-in by a novel particle-filter based PCFG parser: essentially, whenever a word is received, a partial parse is sampled. The number of "incorrect" particles increase with sentence length (modeling digging-in), and the number of particles used correlates with the memory constraints of the brain.

"Tighter bounds for structured estimation" - Olivier Chapelle, et. al. (Yahoo/Stanford/NICTA)

- A common approach in optimizing difficult loss functions is to minimize a convex upper bound instead (e.g. hinge loss in SVM's). However, these losses are often loose. In particular, outliers often suffer large loss, so the general classifier accuracy may be sacrificed since the optimizer focuses on these extremely difficult points. The idea here is to use a non-convex, but tighter upper bound. They adopt a ramp-loss for the structured prediction problem and use the convex-concave procedure to solve it.

Science and Technology links (May 26th, 2017)

3 hours ago

## 33 comments:

It is the holic gold which makes me very happy these days, my brother says holic money is his favorite games gold he likes, he usually holic online gold to start his game and most of the time he will win the cheap holic gold back and give me some holic online money to play the game.

網頁設計,情趣用品,情趣用品,情趣用品,情趣用品

色情遊戲,寄情築園小遊戲,情色文學,一葉情貼圖片區,情惑用品性易購,情人視訊網,辣妹視訊,情色交友,成人論壇,情色論壇,愛情公寓,情色,舊情人,情色貼圖,色情聊天室,色情小說,做愛,做愛影片,性愛

免費視訊聊天室,aio交友愛情館,愛情公寓,一葉情貼圖片區,情色貼圖,情色文學,色情聊天室,情色小說,情色電影,情色論壇,成人論壇,辣妹視訊,視訊聊天室,情色視訊,免費視訊,免費視訊聊天,視訊交友網,視訊聊天室,視訊美女,視訊交友,視訊交友90739,UT聊天室,聊天室,豆豆聊天室,尋夢園聊天室,聊天室尋夢園,080聊天室,080苗栗人聊天室,女同志聊天室,上班族聊天室,小高聊天室

AV,AV女優

視訊,影音視訊聊天室,視訊交友

視訊,影音視訊聊天室,視訊聊天室,視訊交友,視訊聊天,視訊美女

酒店經紀PRETTY GIRL 台北酒店經紀人 ,禮服店 酒店兼差PRETTY GIRL酒店公關 酒店小姐 彩色爆米花酒店兼職,酒店工作 彩色爆米花酒店經紀, 酒店上班,酒店工作 PRETTY GIRL酒店喝酒酒店上班 彩色爆米花台北酒店酒店小姐 PRETTY GIRL酒店上班酒店打工PRETTY GIRL酒店打工酒店經紀 彩色爆米花

艾葳酒店經紀提供專業的酒店經紀,酒店上班,酒店打工、兼職、酒店相關知識等酒店相關產業服務,想加入這行業的水水們請找專業又有保障的艾葳酒店經紀公司!

艾葳酒店經紀是合法的公司、我們是不會跟水水簽任何的合約 ( 請放心 )，我們是不會強押水水辛苦工作的薪水，我們絕對不會對任何人公開水水的資料、工作環境高雅時尚，無業績壓力，無脫秀無喝酒壓力，高層次會員制客源，工作輕鬆。

一般的酒店經紀只會在水水們第一次上班和領薪水時出現而已，對水水們的上班安全一點保障都沒有！艾葳酒店經紀公司的水水們上班時全程媽咪作陪，不需擔心！只提供最優質的酒店上班環境、上班條件給水水們。

Enjoy your shopping experience on mensclothingus.com.You can find the father who desire fashionable, intellectual mens clothing simultaneouslyGod bless you!I really agree with your opinions.

..............................................................

And if we are talking specifics, here, then make it a waist 33, length 30 to crease nicely over my square tipped Kenneth Cole Reaction vintage nubuck loafers. I also would like a 1.8" wide Gucci horsebit ring buckle belt the same color as the loafers.

............................................................................

we have the highest quality but the lowest price fashion products wholesale from China.Here are the most popular China Wholesale products for all of you.You can visit

...................................................................

I also would like a 1.8" wide Gucci horsebit ring buckle belt the same color as the loafers.

Custom Dissertation | Custom Essay | Custom Research Paper

Great post, i really appreciate it.

Custom Term Paper | Custom Thesis

Many institutions limit access to their online information. Making this information available will be an asset to all.

sohbet odaları

sohbet

yonja

chat siteleri

forum siteleri

toplist ekle

sohbet

yonja

netlog

sohbet

kizlarla sohbet

sohbet

sohbet

dini sohbet

islami sohbet

chat

sohbet chat

mirc indir

cinsel sohbet

porno izle

camfrog indir

lida

kurumsalseo.com R10 lida fx15 pohudey zayıflama

情趣,情趣,情趣用品,情趣用品,情趣商品,情趣商品,按摩棒,跳蛋,情趣按摩棒,充氣娃娃,保險套,飛機杯,潤滑液,情趣內衣,性感內衣,g點,持久液,按摩棒,跳蛋,情趣按摩棒,充氣娃娃,保險套,飛機杯,潤滑液,情趣內衣,性感內衣,g點,持久液,按摩棒,跳蛋,情趣按摩棒,充氣娃娃,保險套,飛機杯,潤滑液,情趣內衣,性感內衣,g點,持久液,按摩棒,跳蛋,情趣按摩棒,充氣娃娃,保險套,飛機杯,潤滑液

It’s always good see that machine learning has quite a ways to go

Thesis | Dissertation | Essay | Assignment

cool and interesting things seen at NIPS I’ll post my own little list of neat papers here as well in future

Thesis Writing | Dissertation Writing | Essay Writing | Assignment Writing

Классный кино на кинозоуне.

электронная почта без регистрации

Making this information available will be an asset to all. Many institutions limit access to their online information.

Thesis Help | Dissertation Help | Essay Help | Assignment Help

this kind of blog always useful for blog readers, it helps people during research. your post is one of the same for blog readers.

Thesis Papers Writing

Enjoy your shopping experience mensclothingus.com.You can find who is the father's desire to fashion, intellectual men simultaneouslyGod bless you! I very much agree with you.SEO Service Directory Submission Social Media Guidelines Directory Submission

электронная почта без регистрации

Фильмы онлайин

Many institutions limit access to their online information. Making this information available will be an asset to all.

I think this is definitely the future. I think you need to push this more.

whistleblower

one day i went shopping outside,and in an ed hardy store,I found some kinds of ed hardy i love most they are Your website is really good Thank you for the information

ed hardyed hardyed hardy clothinged hardy clothinged hardy shoesed hardy shoesdon ed hardydon ed hardyed hardy clothesed hardy clothesed hardy bagsed hardy bagsed hardy swimweared hardy swimweared hardy jeansed hardy jeansed hardy mensed hardy mens Thank you for the informationReally trustworthy blog. Please keep updating with great posts like this one. I have booked marked your site and am about to email it to a few friends of mine that I know would enjoy reading..

sesli sohbetsesli chatkamerali sohbetseslisohbetsesli sohbet sitelerisesli chat siteleriseslichatsesli sohpetseslisohbet.comsesli chatsesli sohbetkamerali sohbetsesli chatsesli sohbetkamerali sohbet

seslisohbetsesli sohbetkamerali sohbetsesli chatsesli sohbetkamerali sohbet

As a newbie, this article was really helpful, thanks for sharing!

Substantially, the post is really the greatest on this valuable topic. I agree with your conclusions and will thirstily look forward to your future updates.

Term papers

Students have a chance buy the research papers

and buy custom essay

papers at the research paper writing service just about this post.

I believe the information covered in the discussion is top notch. I've been doing a research on the subject and your blog just cleared up a lot of questions. I am working on a custom term papers and custom written essay for my English class and currently reading lots of blogs to study.

Really trustworthy blog. Please keep updating with great posts like this one. I have booked marked your site and am about to email it to a few friends of mine that I know would enjoy reading..

sesli sohbet

seslisohbet

sesli chat

seslichat

sesli sohbet sitesi

sesli chat sitesi

sesli sohpet

kamerali sohbet

kamerali chat

webcam sohbet

HP dv9700 battery

HP F4809A Battery

HP nc8000 battery

HP nc8230 battery

HP pavilion zd8000 battery

HP f2024b battery

HP f4812a battery

HP Pavilion ZV5000 battery

HP Pavilion DV1000 battery

HP Pavilion ZD7000 Battery

HP Pavilion DV2000 battery

HP Pavilion DV4000 Battery

HP Pavilion dv6000 Battery

HP Pavilion DV9000 Battery

HP F4098A battery

HP pavilion zx6000 battery

HP omnibook xe4400 battery

HP omnibook xe4500 battery

HP omnibook xe3 battery

Notebook NX9110 battery

IBM 02K6821 battery

IBM 02K7054 battery

IBM 08K8195 battery

IBM 08K8218 battery

IBM 92P1089 battery

IBM Thinkpad 390 Series battery

IBM Thinkpad 390X battery

IBM ThinkPad Z61m Battery

IBM 02K7018 Battery

IBM thinkpad t41p battery

IBM THINKPAD T42 Battery

IBM ThinkPad R60 Battery

IBM ThinkPad T60 Battery

IBM ThinkPad T41 Battery

IBM ThinkPad T43 Battery

IBM ThinkPad X40 Battery

Thinkpad x24 battery

ThinkPad G41 battery

IBM thinkpad r52 battery

Thinkpad x22 battery

IBM thinkpad t42 battery

IBM thinkpad r51 battery

Thinkpad r50 battery

IBM thinkpad r32 battery

Thinkpad x41 battery

SONY VGP-BPS2 Battery

SONY VGP-BPS2C Battery

SONY VGP-BPS5 battery

SONY VGP-BPL2C battery

SONY VGP-BPS2A battery

SONY VGP-BPS2B battery

SONY PCGA-BP1N battery

SONY PCGA-BP2E battery

SONY PCGA-BP2NX battery

SONY PCGA-BP2S battery

SONY PCGA-BP2SA battery

SONY PCGA-BP2T battery

SONY PCGA-BP2V battery

SONY PCGA-BP4V battery

SONY PCGA-BP71 battery

SONY PCGA-BP71A battery

SONY VGP-BPL1 battery

SONY VGP-BPL2 battery

Really trustworthy blog. Please keep updating with great posts like this one. I have booked marked your site and am about to email it

to a few friends of mine that I know would enjoy reading..

seslisohbet

seslichat

sesli sohbet

sesli chat

sesli

sesli site

görünlütü sohbet

görüntülü chat

kameralı sohbet

kameralı chat

sesli sohbet siteleri

sesli chat siteleri

görüntülü sohbet siteleri

görüntülü chat siteleri

kameralı sohbet siteleri

canlı sohbet

sesli muhabbet

görüntülü muhabbet

kameralı muhabbet

seslidunya

seslisehir

sesli sex

Really trustworthy blog. Please keep updating with great posts like this one. I have booked marked your site and am about to email it

to a few friends of mine that I know would enjoy reading..

seslisohbet

seslichat

sesli sohbet

sesli chat

sesli

sesli site

görünlütü sohbet

görüntülü chat

kameralı sohbet

kameralı chat

sesli sohbet siteleri

sesli chat siteleri

sesli muhabbet siteleri

görüntülü sohbet siteleri

görüntülü chat siteleri

görüntülü muhabbet siteleri

kameralı sohbet siteleri

kameralı chat siteleri

kameralı muhabbet siteleri

canlı sohbet

sesli muhabbet

görüntülü muhabbet

kameralı muhabbet

birsesver

birses

seslidunya

seslisehir

sesli sex

Post a Comment