Associate Professor

Department of Statistical Sciences

Department of Computer Science (cross-appointment)

Department of Electrical and Computer Engineering (cross-appointment)

就爱加速安卓版

Department of Computer and Mathematical Sciences

北京突发疫情，重磅政策加速落地，A股要大变天了！-爱股君 ...:【北京突发疫情，重磅政策加速落地，A股要大变天了！】周末北京疫情刷屏了，从“战时机制”到“进入非常时期”，这些词总是有种莫名的悲怆。爱股君就身在海淀，太难了！这次疫情集中在新发地，这名字取的，有点邪门了。疾控专家表示，新发地病毒基因测序发现来自欧洲方向，初步判定与 ...

**Canada AI Chair**, CIFAR

**Founding Faculty**, Vector Institute

Jump to: Teaching | Research Articles | News | Probabilistic Programming | Curriculum Vitæ | Contact

I am seeking students at all levels with strong quantitative backgrounds interested in foundational problems at the intersection of machine learning, statistics, and computer science. I am also seeking qualified postdoctoral researchers for two- and three- year positions. Click to read instructions before contacting me, or your email is likely to be deleted. I value people who are attentive to details.

就爱加速官网

Our workshop on Machine Learning with Guarantees has been accepted to NeurIPS 2019.

92就爱加速

有了7.9秒的零百加速数据，就一定要当钢炮吗？-爱咖号:1 天前 · 爱咖号《有了7.9秒的零百加速数据，就一定要当钢炮吗？-爱咖号》为您提供：十万左右能落地的小型SUV中，能做到7.9秒零百加速的，除了缤越（1.5T车型）还有谁？但撇开傲视同级的加速数据，这款“小钢炮”的实际驾驶体验到底如何？对于刚刚推出的缤越Pro，我

AUG 2018

My paper with Gintare Karolina Dziugaite on data-dependent PAC-Bayes bounds using differential privacy has been accepted to NIPS.

JUL 2018

Joint work with Karolina Dziugaite on Entropy-SGD and its connection to PAC-Bayes will appear at ICML.

JUN 2018

Congratulations to Haosui (Kevin) Duanmu on being awarded the Research (Thesis) Award by the Department of Statistical Sciences at U of T. Kevin's thesis was also the sole nominee by U of T to the CGS/ProQuest Dissertation Award in the Mathematics/Physical Sciences category.

就爱加速

Victor Veitch's thesis, "(Sparse) Exchangeable Random Graphs", has been awarded the SSC Pierre Robillard Award for best thesis in statsitics and probability in Canada. See the award announcement.

NOV 2017

Joint work with J. Huggins (Harvard) accepted to Bernoulli. This work introduces a new notion of effective sample size in order to control the quality of the *就爱加速官网* produced by Sequential Monte Carlo.

JUL 2017

Pleased to hear that my article characterizing product-form exchangeable feature allocations with Battison, Favaro, and Teh has been accepted to the Annals of Applied Probability.

JUN 2017

Happy to announce my paper with 92加速官网 on neural network generalization bounds has been accepted for a plenary talk at UAI in Australia this August.

MAR 2017

I'm excited to be part of the **Vector Institute**. We're looking to hire the best and brightest, from all corners. Come join us!

FEB 2017

I'm happy to announce that I've received a 2017 Google Research Award.

Show More ▼

- Blair Bilodeau, Ph.D. candidate, Stats
- Mufan Li, Ph.D. candidate, Stats
- 就爱加速, Ms.C. candidate, CS
- Mahdi Haghifam, Ph.D. candidate, ECE
- 就爱加速官网, Ph.D. candidate, Stats
- Ali Ramezani-Kebrya, Postdoctoral fellow
- Ekansh Sharma, Ph.D. candidate, CS
- Yanbo Tang, Ph.D. candidate, Stats

- Jun Yang, Ph.D. candidate, Stats → Florence Nightingale Fellow, Oxford University
- Zacharie Naulet, Postdoc → Assistant Prof., Université Paris-Sud
- Alexander Edmonds, M.Sc., CS → Ph.D. at UofT
- Haosui (Kevin) Duanmu, Ph.D., Statistics (Dissertation; Departmental Thesis Award) → NSERC Postdoctoral Fellow at Berkeley
- Victor Veitch, Ph.D., Statistics (92就爱加速; Departmental Thesis Award, Stat. Soc. of Canada (SSC) Pierre Robillard Award) → Distinguished Postdoctoral Researcher at Columbia → Asst. Prof., University of Chicago, Statistics
- Siddharth Ancha

M.Sc., CS → Ph.D. at CMU - Pablo García Moreno

Postdoc → Machine Learning Scientist at Amazon

My research blends computer science, statistics and probability theory; I study "probabilistic programming" and develop computational perspectives on fundamental ideas in probability theory and statistics. I am particularly interested in: representation theorems that connect computability, complexity, and probabilistic structures; stochastic processes, the use of recursion to define stochastic processes, and applications to nonparametric Bayesian statistics; and the complexity of probabilistic and statistical inference, especially in the context of probabilistic programming. Ultimately, I am motivated by the long term goal of making lasting contributions to our understanding of complex adaptive systems and especially Artificial Intelligence.

**STA3000** (Fall 2017)

**Advanced Theory of Statistics, Part I**

**STA4516** (Fall 2017)

**Nonstandard Analysis and Applications to Statistics and Probability**

**STAD68** (Fall 2017)

**Advanced Machine Learning and Data Mining**

**就爱加速官网** (Fall 2016)

**北京突发疫情，重磅政策加速落地，A股要大变天了！-爱股君 ...:【北京突发疫情，重磅政策加速落地，A股要大变天了！】周末北京疫情刷屏了，从“战时机制”到“进入非常时期”，这些词总是有种莫名的悲怆。爱股君就身在海淀，太难了！这次疫情集中在新发地，这名字取的，有点邪门了。疾控专家表示，新发地病毒基因测序发现来自欧洲方向，初步判定与 ...**

**就爱加速** (Fall 2015)

**Topics in Probabilistic Programming**

**STAC63** (Fall 2015)

**Probability Models**

**STAD68** (Winter 2015)

**Advanced Machine Learning and Data Mining**

**STA4513** (Fall 2014)

**Statistical models of networks, graphs, and other relational structures**

Programs can be used to give compact representations of distributions: in order to represent a distribution, one simply gives a program that would generate an exact sample were the random number generator to produce realizations of independent and identically distributed random variables. This approach to representing distributions by *probabilistic programs* works not only for simple distributions on numbers like Poissons, Gaussians, etc., and combinations thereof, but also for more exotic distributions on, e.g., phrases in natural language, rendered 2D images of 3D scenes, and climate sensor measurements.

*Probabilistic programming systems* support statistical inference on models defined by probabilistic programs.
By constraining some variables of a program (e.g., simulated sensor readings in some climate model) and studying the *conditional* distribution of other variables (e.g., the parameters of the climate model), we can identify plausible variable settings that agree with the constraints. Conditional inferences like this would allow us to, e.g., build predictive text systems for mobile phones, guess the 3D shape of an object from only a photograph, or study the underlying mechanisms driving observed climate measurements.

Probabilistic programming systems for machine learning and statistics are still in their infancy, and there are many interesting theoretical and applied problems yet to be tackled. My own work focuses on theoretical questions around representing stochastic processes and the computational complexity of sampling-based approaches to inference. I was involved in the definition of the probabilistic programming language 就爱加速安卓版, and its first implementation, MIT-Church, a Markov Chain Monte Carlo algorithm operating on the space of execution histories of an interpreter. Some of my key theoretical work includes a study of the computability of conditional probability and de Finetti measures, both central notions in Bayesian statistics. Readers looking for an overview of these results are directed to the introduction of my doctoral dissertation. A less technical description of a 周杰伦 - 不爱我就拉倒 - MacMine - 5SING中国原创音乐基地:2021-5-15 · 加速狂飙 你说不要 爱的险你不想冒 不想被套牢 他的怀抱 真比我好 你幸福就好. 不爱我就拉倒 离开之前 不要爱的抱抱 反正 我又不是没有人要. 哥练的胸肌 如果你还想靠 好胆你就麦造~ <Rap> 寒流来了 刚好可以把你手放外套 把安全帽戴好 不要在爱情路上跌倒 can be found in a recent book chapter on legacies of Alan Turing, co-authored with Freer and Tenenbaum.

More information on probabilistic programming can be found on probabilistic-programming.org, a wiki that I maintain. In particular, look at the list of research articles and papers on probabilistic programming and the tutorials.

I co-organized the first workshop on probabilistic programming for statistics and machine learning at NIPS*2008 (with Vikash Mansinghka, John Winn, David McAllester and Josh Tenenbaum). Four years later, I co-organized the second workshop on probabilistic programming at NIPS*2012 (with Vikash Mansinghka and Noah Goodman).

Hello, my name is Daniel M. Roy (or simply, Dan) and I am an Assistant Professor of Statistics at the University of Toronto, with cross appointments in Computer Science and in Electrical and Computer Engineeringe.

I received all three of my degrees in (Electrical Engineering and) Computer Science from MIT. As a doctoral student, I was member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), where I was advised by Leslie Kaelbling. I also collaborated with members of Josh Tenenbaum's Computational Cognitive Science group.

After my doctorate, I was a 92就爱加速 of the Royal Society and then Research Fellow of of Emmanuel College at the University of Cambridge. At Cambridge, I was a member of the Machine Learning Group, headed by Zoubin Ghahramani and part of the Computational and Biological Learning Lab in the Department of Engineering.

You may find my abbreviated curriculum vitæ online.

Nate Ackerman, Siddharth Ancha, Matej Balog, Marco Battiston, William Beebee, Keith Bonawitz, Nate Ackerman, Jeremy Avigad, Blair Bilodeau, Cristian Cadar, Hal Daumé III, Brian Demsky, Daniel Dumitran, Haosui Duanmu, Gintare Karolina Dziugaite, Stefano Favaro, Cameron Freer, Zoubin Ghahramani, Noah Goodman, Creighton Heaukulani, Jonathan Huggins, Eric Jonas, 就爱加速安卓版, Charles Kemp, Balaji Lakshminarayanan, Tudor Leu, James Lloyd, 就爱加速器官网, Vikash Mansinghka, Peter Orbanz, Ali Ramezani-Kebrya, Ryan Rifkin, Martin Rinard, Jason Rute, 92加速官网, 就爱加速安卓版, Ekansh Sharma, David Sontag, Sam Staton, Yee Whye Teh, 92就爱加速, Victor Veitch, 就爱加速器官网, Hongseok Yang

**就爱加速安卓版**

Meloney Roy,
Kenny Roy.

Several template .TEX files for producing slides for mathematical talks that more closely mimic the chalk talk aesthetic.

Valid XHTML 1.1 re-validate

Valid CSS
/styles/screen

Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice

Blair Bilodeau,
Jeffrey Negrea,
Daniel M. Roy

arXiv:2007.06552

加速再加速就有兑现的风险，指数本来没有大跌的风险，但是 ...:加速再加速就有兑现的风险，指数本来没有大跌的风险，但是很多高标已经出现连续加速的情况，筹码断层严重，只要有风险信号就被资金兑现，指数从上周五已经反弹了4天，积累了大量的获利盘，这种连续加速的就是标准的卖点了，比如宝莱特。这个蓝色光标也挺迷，开盘直接顶一字，这么大的 ...

Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Daniel M. Roy

arXiv:2006.10929

Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms

Mahdi Haghifam,
Jeffrey Negrea,
Ashish Khisti,
Daniel M. Roy,
Gintare Karolina Dziugaite

arXiv:2004.12983

Approximations in Probabilistic Programs

Ekansh Sharma, Daniel M. Roy

arXiv:1912.06791

薄荷加速器（网游，免费） - 『精品软件区』 - 吾爱破解 ...:2021-3-21 · 如题，这个加速器我也用了一个多月了，用的手机号码注册，暂时没发现什么大的问题。有需要的朋友可以试试，直接百度就可以搜到。 薄荷加速器（网游，免费） ,吾爱破解 - LCG - LSG |安卓破解|病毒分析|www.52pojie.cn

(with Creighton Heaukulani)

就爱加速器官网

NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization

Ali Ramezani-Kebrya, Fartash Faghri, Daniel M. Roy

arXiv:1908.06077

上证上午正式kd金叉，中枢回踩完后多留意权重会不会带着 ...:上证上午正式kd金叉，中枢回踩完后多留意权重会不会带着大盘加速，金叉后就要开始绷紧神经了。今天前面几天强势的医药股开始大幅度流出，当日高位的题材股一追高市场第二天做修正卖出并且连续出现跟现在主流不相符板块领盘。一者是技术空方但是明显筑底现象的，例如之前会员布局获益华 ...

Zacharie Naulet, Ekansh Sharma, Victor Veitch, Daniel M. Roy

arXiv:1712.01745

On Extended Admissible Procedures and their Nonstandard Bayes Risk

Haosui Duanmu and Daniel M. Roy

arXiv:1612.09305

The Class of Random Graphs Arising from Exchangeable Random Measures

Victor Veitch and Daniel M. Roy

arXiv:1512.03099

The continuum-of-urns scheme,

generalized beta and Indian buffet processes,

and hierarchies thereof

arXiv:1501.00208

**Note:** *Articles distinguished by "(with ...)" have alphabetical author lists, as is the convention in mathematics and theoretical computer science.*

Computability, inference and modeling in probabilistic programming

Daniel M. Roy

*Ph.D. thesis, Massachusetts Institute of Technology*,
2011.

MIT/EECS George M. Sprowls Doctoral Dissertation Award

就爱江湖论坛开放注册+学破解论坛开放注册[点击本... - Douban:2021-8-9 · 设为首页 收藏本站 开启辅助访问 切换到宽版 用户名 Email 自动登录 找回密码 密码 登录 立即注册 只需一步，快速开始 快捷导航 论坛 就爱江湖论坛首页 VIP会员 就爱江湖荣誉会员 举报 欢迎大家积极举报违规帖子! 签到 每日签到领取江湖币 排行榜 用户排名,竞价上榜排行 最新帖子 论坛最新帖子 ...

Blair Bilodeau, Dylan Foster, Daniel M. Roy

In *鼠标加速,小猪教您怎么去除鼠标加速 - 爱小助:2021-6-14 · 很多玩游戏的朋友都知道鼠标的重要性，只有一款顺手的鼠标才能打出好的成绩。如果您是玩枪战类游戏的玩家您可以知道鼠标加速这个东西，也知道去除鼠标加速后效果会更好，下面就来看看怎么去除鼠标加速吧！现在很多游* (ICML), 2020.

arXiv:2007.01160

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin

In *Proc. International Conf. on Machine Learning* (ICML), 2020.

arXiv:1912.05671

深圳市就爱加速网络技术有限公司_工商信息_风险信息 - 天眼查:2021-3-2 · 天眼查为您提供深圳市就爱加速网络技术有限公司的相关企业信息查询服务：查询工商注册信息，公司电话，公司地址，公司邮箱网址，公司经营风险，公司发展状况，公司财务状况，公司股东法人高管、商标、融资、专利、法律诉讼等多个企业信息维度。

Jeffrey Negrea,
Gintare Karolina Dziugaite,
Daniel M. Roy

In *Proc. International Conf. on Machine Learning* (ICML), 2020.

arXiv:1912.04265

Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes

Jun Yang, Shengyang Sun, Daniel M. Roy

*深圳市就爱加速网络技术有限公司_工商信息_风险信息 - 天眼查:2021-3-2 · 天眼查为您提供深圳市就爱加速网络技术有限公司的相关企业信息查询服务：查询工商注册信息，公司电话，公司地址，公司邮箱网址，公司经营风险，公司发展状况，公司财务状况，公司股东法人高管、商标、融资、专利、法律诉讼等多个企业信息维度。* (NeurIPS).

就爱加速

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates

Jeffrey Negrea,
Mahdi Haghifam,
Gintare Karolina Dziugaite,
Ashish Khisti,
Daniel M. Roy

*北京突发疫情，重磅政策加速落地，A股要大变天了！-爱股君 ...:【北京突发疫情，重磅政策加速落地，A股要大变天了！】周末北京疫情刷屏了，从“战时机制”到“进入非常时期”，这些词总是有种莫名的悲怆。爱股君就身在海淀，太难了！这次疫情集中在新发地，这名字取的，有点邪门了。疾控专家表示，新发地病毒基因测序发现来自欧洲方向，初步判定与 ...* (NeurIPS).

92就爱加速

爱加速app下载|爱加速 v3.1.1.0安卓版下载 - 多多软件站:2021-5-24 · 爱加速app是一款专业的保护公共网络隐私安全、网络提速的防护软件，当你在外面的时候，手机流量不够，只能连公共WIFI，可又担心泄露隐私信息，这时候爱加速app就派上用场了，它能够随时随地轻松连接公共WiFi，远离网络安全隐患，防止个人 ...

(with Creighton Heaukulani)

*Bayesian Analysis*.

arXiv:1512.02543

92就爱加速

Algorithmic barriers to representing conditional independence

(with Nathanael L. Ackerman, Jeremy Avigad, Cameron E. Freer, and Jason M. Rute)

*Proc. Logic in Computer Science* (LICS), 2018.

arXiv:1801.10387 (old)

doi:10.1109/LICS.2019.8785762

On the computability of conditional probability

(with Nate Ackerman and Cameron Freer)

*Journal of the ACM*.

arXiv:1005.3014

doi:10.1145/3321699

Sampling and Estimation for (Sparse) Exchangeable Graphs

Victor Veitch and Daniel M. Roy

*Annals of Statistics*.

arXiv:1611.00843

Data-dependent PAC-Bayes priors via differential privacy

Gintare Karolina Dziugaite and Daniel M. Roy

In *Advances in Neural Information Processing Systems 31* (NeurIPS).

arXiv:1802.09583

Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors

Gintare Karolina Dziugaite and Daniel M. Roy

In *Proc. International Conf. on Machine Learning* (ICML), 2018.

arXiv:1712.09376

爱剪辑如何给视频加速-百度经验:2021-8-1 · 爱剪辑如何给视频加速,用爱剪辑给视频加速的操作方法很简单，今天就跟大家分享一下 1、截取需要制作倒带效果的视频片段 在已添加片段中，双击视频缩略图，在弹出的预览截取对话框中，设选取视频的开始时间和结束时间，也可以使用左右方向键五秒微调，上下方向键逐帧选取视频的开始时间 ...

Sam Staton, Dario Stein, Hongseok Yang, Nathanael Ackerman, Cameron Freer, Daniel M. Roy

In *当SaaS遇上AI，就像“傻子”遇上“爱” - 云+社区 - 腾讯云:2021-12-4 · 11月29日-30日，腾讯产业加速器首次聚合闭门辅导在南京举行，作为腾讯云启智慧产业生态平台的重要组成部分，腾讯产业加速器此次闭门辅导意味着腾讯在AI和SaaS两大赛道的落地实践正在进入生态融合发展阶段，而腾讯与产业合作伙伴共建的智慧产业生态也开始进一步实现交叉闭环。* (ICALP), 2018.

arXiv:1802.09598

Sequential Monte Carlo as Approximate Sampling: bounds, adaptive resampling via \infty-ESS, and an application to Particle Gibbs

(with Jonathan Huggins)

*Bernoulli*.

arXiv:1503.00966

doi:10.3150/17-BEJ999

A characterization of product-form exchangeable feature probability functions

Marco Battiston, Stefano Favaro, Daniel M. Roy, Yee Whye Teh

*Annals of Applied Probability*.

arXiv:1607.02066

doi:10.1214/17-AAP1333

Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

Gintare Karolina Dziugaite and Daniel M. Roy

In *Proc. Uncertainty in Artificial Intelligence* (UAI), 2017.

arXiv:1703.11008

code

Measuring the reliability of MCMC inference with bidirectional Monte Carlo

Roger B. Grosse, Siddharth Ancha, and Daniel M. Roy

In *Adv. Neural Information Processing Systems 29* (NIPS), 2016.

arXiv:1606.02275

nips

On computability and disintegration

(with Nate Ackerman and Cameron Freer)

In *Mathematical Structures in Computer Science*.

arXiv:1509.02992 (recommended)

doi:10.1017/S0960129516000098

The Mondrian Kernel

Matej Balog, Balaji Lakshminarayan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh

In *Proc. Uncertainty in Artificial Intelligence* (UAI), 2016.

arXiv:1606.05241

Mondrian Forests for Large-Scale Regression when Uncertainty Matters

Balaji Lakshminarayanan,
Daniel M. Roy,
Yee Whye Teh.

In *Proc. Artificial Intelligence and Statistics* (AISTATS), 2016.

arXiv:1506.03805

Training generative neural networks via Maximum Mean Discrepancy optimization

Gintare Karolina Dziugaite, Daniel M. Roy, and Zoubin Ghahramani

In *就爱加速插件_csdn_walter的博客-CSDN博客:2021-3-20 · 就爱加速插件 13164 linux怎么将一个文件夹链接到另一个文件夹上 9601 fread 8423 c语言变量名和地址的关系 3952 #define 宏函数实现printf打印log 3619 最新评论 C语言除法”四舍五入“与“进一法 ...* (UAI), 2015.

arXiv:1505.03906

The combinatorial structure of beta negative binomial processes

(with Creighton Heaukulani)

*Bernoulli*, 2016, Vol. 22, No. 4, 2301–2324.

就爱加速器官网

Particle Gibbs for Bayesian Additive Regression Trees

Balaji Lakshminarayanan,
就爱加速官网,
Yee Whye Teh

*Proc. Artificial Intelligence and Statistics* (AISTATS), 2015.

arXiv:1502.04622

Mondrian Forests: Efficient Online Random Forests

Balaji Lakshminarayanan,
Daniel M. Roy,
Yee Whye Teh

*Adv. Neural Information Processing Systems 27* (NIPS), 2014.

code

Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures

(with Peter Orbanz)

*IEEE Trans. Pattern Anal. Mach. Intelligence* (PAMI), 2014.

doi:10.1109/TPAMI.2014.2334607

就爱加速器官网

slides for talk at CIMAT

Top-down particle filtering for Bayesian decision trees

Balaji Lakshminarayanan,
Daniel M. Roy,
Yee Whye Teh

*Proc. Int. Conf. on Machine Learning* (ICML), 2013.

92加速官网

Towards common-sense reasoning via conditional simulation:

Legacies of Turing in Artificial Intelligence

(with Cameron Freer and 92加速官网)

*Turing's Legacy (ASL Lecture Notes in Logic)*, 2012.

doi:10.1017/CBO9781107338579.007

Random function priors for exchangeable arrays with applications to graphs and relational data

James Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy

*Adv. Neural Information Processing Systems 25* (NIPS), 2012.

加速再加速就有兑现的风险，指数本来没有大跌的风险，但是 ...:加速再加速就有兑现的风险，指数本来没有大跌的风险，但是很多高标已经出现连续加速的情况，筹码断层严重，只要有风险信号就被资金兑现，指数从上周五已经反弹了4天，积累了大量的获利盘，这种连续加速的就是标准的卖点了，比如宝莱特。这个蓝色光标也挺迷，开盘直接顶一字，这么大的 ...

(with
Cameron Freer)

*Annals of Pure and Applied Logic*, 2012.

doi:10.1016/j.apal.2011.06.011

Complexity of Inference in Latent Dirichlet Allocation

David Sontag and
Daniel Roy

*Adv. Neural Information Processing Systems 24* (NIPS), 2011.

Noncomputable conditional distributions

(with Nate Ackerman and
Cameron Freer)

*Proc. Logic in Computer Science* (LICS), 2011.

Probabilistically Accurate Program Transformations

Sasa Misailovic,
Daniel M. Roy,
and
Martin C. Rinard

*Proc. Int. Static Analysis Symp.*
(SAS), 2011.

Bayesian Policy Search with Policy Priors

David Wingate,
Noah D. Goodman,
Daniel M. Roy,
Leslie P. Kaelbling,
and
Joshua B. Tenenbaum

*Proc. Int. Joint Conf. on Artificial Intelligence*
(IJCAI), 2011.

Posterior distributions are computable from predictive distributions

(with Cameron Freer)

*Proc. Artificial Intelligence and Statistics* (AISTATS), 2010.

The Infinite Latent Events Model

David Wingate,
Noah D. Goodman,
Daniel M. Roy,
and
Joshua B. Tenenbaum

In *兄弟别介意 最近车圈就流行各种“绿”-爱卡汽车:2021-5-21 · 0-100km/h加速时间方面，Giulia Quadrifoglio为3.9s，而配备了Q4四驱系统的Stelvio Quadrifoglio为3.8s。 两款新车均可选装带有碳纤维尾喉装饰的Akrapovic钛合金排气。* (UAI), 2009.

Computable exchangeable sequences have computable de Finetti measures

(with Cameron Freer)

In *Proc. Computability in Europe* (CiE), 2009.

Exact and Approximate Sampling by Systematic Stochastic Search

Vikash Mansinghka,
Daniel M. Roy,
Eric Jonas,
and
Joshua Tenenbaum

In *Proc. Artificial Intelligence and Statistics* (AISTATS), 2009.

The Mondrian Process

(with
Yee Whye Teh)

In *Adv. Neural Information Processing Systems 21* (NIPS), 2009.

平心在线官网_“用爱发电”照样“用钱发电”？B站的“破圈 ...:平心在线：平心在线手机版_QuestMobile2021儿童经济洞察讲述平心在线:互联网的信息渠道多元、社交分享、内容种草、KOL带货等新玩法，正在加速推动“儿童经济细分领域”的闭环，详情请参见QuestMobile儿童经济洞察报告 作者 / 王梓健 泉源 /... as one zooms into the origin (under a beta Levy rate measure at time t=1.0). See also the 周杰伦 - 不爱我就拉倒 - MacMine - 5SING中国原创音乐基地:2021-5-15 · 加速狂飙 你说不要 爱的险你不想冒 不想被套牢 他的怀抱 真比我好 你幸福就好. 不爱我就拉倒 离开之前 不要爱的抱抱 反正 我又不是没有人要. 哥练的胸肌 如果你还想靠 好胆你就麦造~ <Rap> 寒流来了 刚好可以把你手放外套 把安全帽戴好 不要在爱情路上跌倒 on the plane as we zoom in with rate proportional to time. In both cases, the colors are chosen at random from a palette. These animations were produced by Yee Whye in Matlab. For now, we reserve copyright, but please email me and we'll be more than likely happy to let you use them.

Chapter 5. Distributions on data structures: a case study

(Mondrian process theory)

Those seeking a more formal presentation of the Mondrian process than the NIPS paper should see Chapter 5 of my dissertation.

iku爱酷官方下载-iku爱酷2.1.6.6122 PC版-PC下载网:2021-6-20 · PC下载网网络加速频道，为您提供iku爱酷官方最新版、iku爱酷绿色免费版等网络加速软件下载。更多iku爱酷2.1.6.6122 PC版历史版本，请到PC下载网！

Noah Goodman,
Vikash Mansinghka,
Daniel M. Roy,
Keith Bonawitz,
and
Joshua Tenenbaum

In *Proc. Uncertainty in Artificial Intelligence* (UAI), 2008.

Bayesian Agglomerative Clustering with Coalescents

Yee Whye Teh,
就爱加速器
and
Daniel M. Roy

*Adv. Neural Information Processing Systems 20* (NIPS), 2008.

Discovering Syntactic Hierarchies

Virginia Savova,
Daniel M. Roy,
Lauren Schmidt, and
Joshua B. Tenenbaum

*Proc. Cognitive Science* (COGSCI), 2007.

AClass: An online algorithm for generative classification

Vikash K. Mansinghka,
Daniel M. Roy,
就爱加速官网, and
Joshua B. Tenenbaum

*Proc. Artificial Intelligence and Statistics* (AISTATS), 2007.

Efficient Bayesian Task-level Transfer Learning

Daniel M. Roy and
92就爱加速

*Proc. Int. Joint Conf. on Artificial Intelligience*
(IJCAI), 2007.

Learning Annotated Hierarchies from Relational Data

Daniel M. Roy,
Charles Kemp,
Vikash Mansinghka,
and
Joshua B. Tenenbaum

*Adv. Neural Information Processing Systems 19* (NIPS), 2007.

Clustered Naive Bayes

*MEng thesis*,
Massachusetts Institute of Technology, 2006.

Enhancing Server Availability and Security Through Failure-Oblivious Computing

Martin Rinard, 就爱加速官网 app, Daniel Dumitran,
Daniel M. Roy,
Tudor Leu,
and 就爱加速器官网

*Proc. Operating Systems Design and
Implementation* (OSDI), 2004.

A Dynamic Technique for Eliminating Buffer Overflow Vulnerabilities (and Other Memory Errors)

Martin Rinard, Cristian Cadar, Daniel Dumitran,
Daniel M. Roy,
and 就爱加速器官方下载

*我爱网怎么一键加速qq等级？我爱网qq音乐一键 ...- 嗨客手机站:2021-4-14 · 我爱网怎么一键加速qq等级？我爱网qq音乐一键加速教程[多图],我爱网是一款功能强大的手机加速应用。有了它，你可以随时的在线一键加速手机QQ音乐，帮助你享受各种音乐特权，想听什么就听什么，直接升级。我爱网怎么一键加速qq等级？嗨客小编将会为你详细的介绍的哟~打开软件，登录qq账号 ...* (ACSAC), 2004.

Stabilizing the Lottery Ticket Hypothesis

Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin

arXiv:1903.01611

Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization

Victor Veitch, Ekansh Sharma, Zacharie Naulet, Daniel M. Roy

就爱加速器

On computable representations of exchangeable data

Nathanael L. Ackerman, Jeremy Avigad, Cameron E. Freer, Daniel M. Roy, and Jason M. Rute

Exchangeable Random Processes and Data Abstraction

Sam Staton, Hongseok Yang, Nate Ackerman, Cameron Freer, Dan Roy

A study of the effect of JPG compression on adversarial images

Gintare Karolina Dziugaite, Zoubin Ghahramani, Daniel M. Roy

arXiv:1608:00853

Neural Network Matrix Factorization

Gintare Karolina Dziugaite and Daniel M. Roy

arXiv:1511.06443

Exchangeable databases and their functional representation

James Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy

*NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications*, 2013.

On the computability and complexity of Bayesian reasoning

*NIPS Philosophy and Machine Learning Workshop*, 2011.

When are probabilistic programs probably computationally tractable?

(with Cameron Freer and Vikash Mansinghka)

*当SaaS遇上AI，就像“傻子”遇上“爱” - 云+社区 - 腾讯云:2021-12-4 · 11月29日-30日，腾讯产业加速器首次聚合闭门辅导在南京举行，作为腾讯云启智慧产业生态平台的重要组成部分，腾讯产业加速器此次闭门辅导意味着腾讯在AI和SaaS两大赛道的落地实践正在进入生态融合发展阶段，而腾讯与产业合作伙伴共建的智慧产业生态也开始进一步实现交叉闭环。*, 2010.

当SaaS遇上AI，就像“傻子”遇上“爱” - 云+社区 - 腾讯云:2021-12-4 · 11月29日-30日，腾讯产业加速器首次聚合闭门辅导在南京举行，作为腾讯云启智慧产业生态平台的重要组成部分，腾讯产业加速器此次闭门辅导意味着腾讯在AI和SaaS两大赛道的落地实践正在进入生态融合发展阶段，而腾讯与产业合作伙伴共建的智慧产业生态也开始进一步实现交叉闭环。

92就爱加速 and
Daniel Roy

*NIPS Workshop on Applications for Topic Models: Text and Beyond*, 2009.

平心在线官网_“用爱发电”照样“用钱发电”？B站的“破圈 ...:平心在线：平心在线手机版_QuestMobile2021儿童经济洞察讲述平心在线:互联网的信息渠道多元、社交分享、内容种草、KOL带货等新玩法，正在加速推动“儿童经济细分领域”的闭环，详情请参见QuestMobile儿童经济洞察报告 作者 / 王梓健 泉源 /...

92加速官网
Vikash Mansinghka,
Noah Goodman,
and
Joshua Tenenbaum

*上证上午正式kd金叉，中枢回踩完后多留意权重会不会带着 ...:上证上午正式kd金叉，中枢回踩完后多留意权重会不会带着大盘加速，金叉后就要开始绷紧神经了。今天前面几天强势的医药股开始大幅度流出，当日高位的题材股一追高市场第二天做修正卖出并且连续出现跟现在主流不相符板块领盘。一者是技术空方但是明显筑底现象的，例如之前会员布局获益华 ...*, 2008.

Efficient Specification-Assisted Error Localization

Brian Demsky, Cristian Cadar,
就爱加速器官网,
and Martin C. Rinard

*Proc. Workshop on Dynamic Analysis* (WODA), 2004.

Efficient Specification-Assisted Error Localization and Correction

Brian Demsky, Cristian Cadar,
92加速官网,
and Martin C. Rinard

*MIT CSAIL Technical Report 927.*
November, 2003.

Implementation of Constraint Systems for Useless Variable Elimination

(advised by
Mitchell Wand)

*Research Science Institute.*
August, 1998.

I believe that errata, clarifications, missed citations, links to follow-on work, retractions, and other "marginalia" are important, but underappreciated, contributions to the scientific literature. Ultimately, the nature of a scientific document needs to be rethought, but until then I am slowly collecting marginalia in a simple wiki. I encourage everyone to host similar wikis, or contribute to this one.

Marginalia wiki.

@roydanroy

*recruiters: no, thank you.*

**(research email)**

droy#utstat.toronto.edu

replace # with @

**(teaching-related email)**

UTSC:
daniel.roy#utsc.utoronto.ca

StG:
daniel.roy#utoronto.ca

**(UTSC office)**

Dept. of Computer and

Mathematical Sciences

Univ. of Toronto Scarborough

IC Building, Room 462

1265 Military Trail

Toronto, ON

M1C 1A4

Canada

t: +1 (416) 287 5653

**92就爱加速**

Dept. of Statistical Sciences

Univ. of Toronto

Sidney Smith Hall, 6027F

100 St. George St.

Toronto, ON

M5S 3G3

Canada

t: +1 (416) 978 4220

f: +1 (416) 978 5133

**(mobile phone)**

CA: +1 (647) 993 6380

UK: +44 (0) 7552 784 664

US: +1 (310) 913 6380