A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | |
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1 | name | date | topic | link | notes | |||||||||||||||||||||
2 | 2017 Fall, meeting at Tuesday 1:30-2:45pm in Halligan 127 | |||||||||||||||||||||||||
3 | all | 09/19/2017 | set up the schedule | |||||||||||||||||||||||
4 | Rishit/Fakhteh | 09/26/2017 | Ch2 of W&J | http://www.nowpublishers.com/article/Details/MAL-001 | ||||||||||||||||||||||
5 | Linfeng/Xinmeng | 10/03/2017 | 2.5 and 2.6 of Ch2, 31.-3.3 of Ch 3 | |||||||||||||||||||||||
6 | Dylan/Ramtin | 10/10/2017 | Ch3.4 | |||||||||||||||||||||||
7 | Brian / Kevin | 10/17/2017 | ||||||||||||||||||||||||
8 | 10/24/2017 | -- | ||||||||||||||||||||||||
9 | Dan / Alex | 10/31/2017 | Ch4.1.1 - Ch4.1.3 | |||||||||||||||||||||||
10 | 11/07/2017 | |||||||||||||||||||||||||
11 | Dan / Alex | 11/14/2017 | Finish Ch4.1 | |||||||||||||||||||||||
12 | Dylan | 11/21/2017 | Ch4.3 | |||||||||||||||||||||||
13 | Rishit | 11/28/2017 | Deep Learning and the Information Bottleneck Principle, | https://arxiv.org/pdf/1503.02406.pdf | ||||||||||||||||||||||
14 | 12/05/2017 | NO MEETING DURING NIPS | ||||||||||||||||||||||||
15 | Linfeng | 12/12/2017 | Opening Black Box Deep NNs | https://arxiv.org/pdf/1703.00810.pdf | ||||||||||||||||||||||
16 | 2018 Spring, meeting at Wednesday 1:30-2:45pm in Halligan 127 | |||||||||||||||||||||||||
17 | Kevin | 1/24/2018 | Safe and Nested Subgame Solving for Imperfect-Information Games | http://papers.nips.cc/paper/6671-safe-and-nested-subgame-solving-for-imperfect-information-games.pdf | ||||||||||||||||||||||
18 | Dan Banco | 1/31/2018 | A Linear Time Kernel Goodness of Fit Test | http://papers.nips.cc/paper/6630-a-linear-time-kernel-goodness-of-fit-test.pdf | ||||||||||||||||||||||
19 | Daniel Pechi | 2/7/2018 | Learned in Translation: Contextualized Word Vectors | https://papers.nips.cc/paper/7209-learned-in-translation-contextualized-word-vectors.pdf | ||||||||||||||||||||||
20 | Dylan | 2/14/2018 | Understanding Black-box Predictions via Influence Functions | https://arxiv.org/abs/1703.04730 | ||||||||||||||||||||||
21 | Linfeng | 2/21/2018 | A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions | https://people.ece.cornell.edu/acharya/papers/pml-opt.pdf | ||||||||||||||||||||||
22 | Dylan | 2/28/2018 | Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations | http://www.kdd.org/kdd2016/papers/files/rpp0548-kangA.pdf | ||||||||||||||||||||||
23 | Nathan | 3/7/2018 | Wavenet | https://arxiv.org/abs/1609.03499 | ||||||||||||||||||||||
24 | Daniel Kasenberg | 3/14/2018 | The Mechanics of n-Player Differentiable Games | https://arxiv.org/abs/1802.05642 | ||||||||||||||||||||||
25 | Kevin | 3/26/2018 | Gaussian Markov Random Fields: Theory and Applications | Available online via Tufts library | ||||||||||||||||||||||
26 | Dan Banco | 4/4/2018 | Gaussian Markov Random Fields: Theory and Applications | |||||||||||||||||||||||
27 | Linfeng | 4/11/2018 | Gaussian Markov Random Fields: Theory and Applications | |||||||||||||||||||||||
28 | Dylan | 4/18/2018 | Gaussian Markov Random Fields: Theory and Applications | |||||||||||||||||||||||
29 | ---------- | 4/25/2018 | ---------- | |||||||||||||||||||||||
30 | Dan Banco | 5/2/2018 | Gaussian Markov Random Fields: Theory and Applications | Chapters 2.6.2, 2.6.3 and 2.7 | ||||||||||||||||||||||
31 | Ramtin | 5/9/2018 | Sever: A Robust Meta-Algorithm for Stochastic Optimization | https://arxiv.org/abs/1803.02815 | ||||||||||||||||||||||
32 | ---------- | 5/16/2018 | ---------- | |||||||||||||||||||||||
33 | Kevin | 5/23/2018 | Efficient representation of low dimensional manifolds using deep neural networks | https://arxiv.org/abs/1602.04723 | ||||||||||||||||||||||
34 | ---------- | 5/30/2018 | ---------- | |||||||||||||||||||||||
35 | Linfeng | 6/6/2018 | Graph Attention Networks | https://arxiv.org/abs/1710.10903 | ||||||||||||||||||||||
36 | Liping | 6/13/2018 | REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models | http://papers.nips.cc/paper/6856-rebar-low-variance-unbiased-gradient-estimates-for-discrete-latent-variable-models.pdf | ||||||||||||||||||||||
37 | Kevin | 6/20/2018 | Unsupervised and Semi-Supervised Learning with Categorical Generative Adversarial Networks | https://arxiv.org/pdf/1511.06390.pdf | ||||||||||||||||||||||
38 | Linfeng | 6/27/2018 | Spherical CNNs | https://openreview.net/pdf?id=Hkbd5xZRb | ||||||||||||||||||||||
39 | ---------- | 7/4/2018 | ---------- | |||||||||||||||||||||||
40 | Dan Banco | 7/11/2018 | Wasserstein GAN | https://arxiv.org/abs/1701.07875 | ||||||||||||||||||||||
41 | Kevin | 7/18/2018 | Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples | https://arxiv.org/pdf/1802.00420.pdf | ||||||||||||||||||||||
42 | Dan Banco | 7/25/2018 | Wasserstein Auto-encoders | |||||||||||||||||||||||
43 | Linfeng | 8/1/2018 | Glow: Generative Flow with Invertible 1x1 Convolutions | |||||||||||||||||||||||
44 | Brian Montambault | 8/8/2018 | Learning Deep Mean Field Games for Modeling Large Population Behavior | |||||||||||||||||||||||
45 | Luke | 8/15/2018 | Hamiltonian Dynamics methods applications in Bayesian learning | |||||||||||||||||||||||
46 | Luke | 8/22/2018 | Hamiltonian Dynamics methods applications in Bayesian learning | |||||||||||||||||||||||
47 | Siyuan | 8/28/2018 | Adversarial Deep Learning for Robust Detection of Binary Encoded Malware | https://arxiv.org/pdf/1801.02950.pdf | ||||||||||||||||||||||
48 | 2018 Fall, meeting at W 3:00-4:15, H209 | |||||||||||||||||||||||||
49 | Kevin | 9/5/2018 | Delayed Impact of Fair Machine Learning | |||||||||||||||||||||||
50 | Ugo | 9/12/2018 | Bayesian Data Analysis Ch1-2 | |||||||||||||||||||||||
51 | Brian | 9/19/2018 | Bayesian Data Analysis Ch3 | |||||||||||||||||||||||
52 | Linfeng | 9/26/2018 | Bayesian Data Analysis Ch5 | |||||||||||||||||||||||
53 | Dylan | 10/3/2018 | Bayesian Data Analysis Ch6 | |||||||||||||||||||||||
54 | Kevin | 10/10/2018 | Bayesian Data Analysis Ch7 | |||||||||||||||||||||||
55 | Dan Banco | 10/17/2018 | Bayesian Data Analysis Ch9 | |||||||||||||||||||||||
56 | - | 10/24/2018 | Vote Party | Dylan out (IEEE VIS) | ||||||||||||||||||||||
57 | Rui | 10/31/2018 | RNN with Missing Data | https://papers.nips.cc/paper/1126-recurrent-neural-networks-for-missing-or-asynchronous-data.pdf | Dylan out (IEEE VIS) | |||||||||||||||||||||
58 | - | 11/7/2018 | Justin Domke's talk | |||||||||||||||||||||||
59 | Gabriel | 11/14/2018 | RNN with Missing Data | Recurrent Neural Networks for Multivariate Time Series with Missing Values | ||||||||||||||||||||||
60 | - | 11/21/2018 | Turkeys | |||||||||||||||||||||||
61 | Dan Banco | 11/28/2018 | RNN with Missing Data | http://zacklipton.com/media/papers/rnns-missing-data_9.pdf | ||||||||||||||||||||||
62 | Dylan | 12/5/2018 | Learning on Graphs (Semi-Supervised Classification with Graph Convolutional Networks ) | https://openreview.net/pdf?id=SJU4ayYgl | ||||||||||||||||||||||
63 | Kevin | 12/12/2018 | Learning on Graphs | https://arxiv.org/pdf/1611.08402.pdf | ||||||||||||||||||||||
64 | TBD | |||||||||||||||||||||||||
65 | Linfeng | 12/18/2018 1:00 PM | Learning on Graphs (Bayesian Semi-supervised Learning with Graph Gaussian Processes) | https://arxiv.org/pdf/1809.04379.pdf | ||||||||||||||||||||||
66 | 12/26/2018 | Break | ||||||||||||||||||||||||
67 | 1/2/2019 | Break | ||||||||||||||||||||||||
68 | Mike | 1/9/2019 | NIPS recap | |||||||||||||||||||||||
69 | Daniel | 1/15/2019 | Bayes Backprop (Weight Uncertainty in Neural Networks) | https://arxiv.org/pdf/1505.05424.pdf | ||||||||||||||||||||||
70 | Kevin | 1/22/2019 | BAYESIAN RECURRENT NEURAL NETWORKS | https://arxiv.org/pdf/1704.02798.pdf | ||||||||||||||||||||||
71 | Linfeng | 1/29/2019 | Bayesian Hypernetworks | http://bayesiandeeplearning.org/2017/papers/34.pdf | ||||||||||||||||||||||
72 | Daniel | 2/5/2019 | Gan for Compressed Sensing | https://arxiv.org/abs/1703.03208 | ||||||||||||||||||||||
73 | Daniel | 2/12/2019 | Gan for Compressed Sensing | http://home.engineering.iastate.edu/~chinmay/files/papers/ganICASSP18.pdf | ||||||||||||||||||||||
74 | Daniel | 2/12/2019 | Gan for Compressed Sensing | https://arxiv.org/abs/1810.03587 | ||||||||||||||||||||||
75 | Executive decision | |||||||||||||||||||||||||
76 | Gabe | 2/19/2019 | Numeric Optimization, Nocedal and Wright - Chapters 1-2 | https://link.springer.com/book/10.1007%2F978-0-387-40065-5 | ||||||||||||||||||||||
77 | Kevin | 2/26/2019 | Numeric Optimization, Nocedal and Wright - Chapters 3 | https://link.springer.com/book/10.1007%2F978-0-387-40065-5 | ||||||||||||||||||||||
78 | Rui | 3/5/2019 | Numeric Optimization, Nocedal and Wright - Chapters 4 | - | ||||||||||||||||||||||
79 | Linfeng | 3/12/2019 | Numeric Optimization, Nocedal and Wright - Chapters 4.2+ | - | ||||||||||||||||||||||
80 | - | 3/19/2019 | - | |||||||||||||||||||||||
81 | Daniel | 3/26/2019 | Numeric Optimization, Nocedal and Wright - Chapters ~5/6.1 | Pick a topic with 2-3 papers for next time | ||||||||||||||||||||||
82 | Gabe | 4/2/2019 | Troubling Trends in Machine Learning Scholarship | |||||||||||||||||||||||
83 | Kevin | 4/9/2019 | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift | |||||||||||||||||||||||
84 | Rui | 4/16/2019 | Human-level control through deep reinforcement learning | https://www.nature.com/articles/nature14236.pdf | ||||||||||||||||||||||
85 | Linfeng | 4/23/2019 | Mastering the game of Go with deep neural networks and tree search | https://www.nature.com/articles/nature16961.pdf | ||||||||||||||||||||||
86 | Daniel | 4/30/2019 | Truncated Horizon Policy Search: Combining Reinforcement Learning and Imitation Learning | https://arxiv.org/abs/1805.11240 | ||||||||||||||||||||||
87 | Kevin | 5/7/2019 | A theory of learning from different domains | https://link.springer.com/content/pdf/10.1007/s10994-009-5152-4.pdf | ||||||||||||||||||||||
88 | Gabe | 5/14/2019 | Return of frustratingly easy domain adaptation | https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPaper/12443 | ||||||||||||||||||||||
89 | Linfeng | 5/21/2019 | Deep Visual Domain Adaptation: A Survey | https://arxiv.org/pdf/1802.03601.pdf | ||||||||||||||||||||||
90 | Daniel | 6/11/2019 | QMC 1 | http://statweb.stanford.edu/~owen/courses/362-1011/readings/siggraph03.pdf | ||||||||||||||||||||||
91 | Gabe | 6/18/2019 | QMC 2 | https://arxiv.org/pdf/1807.01604.pdf | ||||||||||||||||||||||
92 | Kevin | 6/25/2019 | QMC 3 | https://papers.nips.cc/paper/7304-geometrically-coupled-monte-carlo-sampling.pdf | ||||||||||||||||||||||
93 | Linfeng | 7/2/2019 | Amortized Variational Inference for Gaussian Processes | Variational inference: [1] Variational Inference: A Review for Statisticians. https://arxiv.org/pdf/1601.00670.pdf Gaussian processes: [2] Gaussian processes in machine learning. http://www.gaussianprocess.org/gpml/chapters/ (you can skim just chapter 2 to save some time) [3] Gaussian Processes for Regression: A Quick Introduction. http://www.robots.ox.ac.uk/~mebden/reports/GPtutorial_old.pdf Our recent paper on AISTATS 2019: [4] Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes. http://proceedings.mlr.press/v89/liu19c.html | ||||||||||||||||||||||
94 | Hao Cui | 7/9/2019 | ||||||||||||||||||||||||
95 | Da Tang | 7/16/2019 | ||||||||||||||||||||||||
96 | Ruiyuan | 7/23/2019 | Current research topics | |||||||||||||||||||||||
97 | Daniel | 7/30/2019 | Current research topics | |||||||||||||||||||||||
98 | Gabe | 8/6/2019 | Current research topics | |||||||||||||||||||||||
99 | Kevin | 8/13/2019 | Current research topics | |||||||||||||||||||||||
100 | Dylan | 8/20/2019 | Current research topics |