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1835
papertalks found
06/12/2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park
,
Krikamol Muandet
Keywords
Abstract
Paper
3:23
06/12/2020
Towards Scalable Bayesian Learning of Causal DAGs
Jussi Viinikka
,
Antti Hyttinen
,
Johan Pensar
,
Mikko Koivisto
Keywords
Abstract
Paper
Theory -> Learning Theory
,
Theory -> Frequentist Statistics
3:25
06/12/2020
The Diversified Ensemble Neural Network
Shaofeng Zhang
,
Meng Liu
,
Junchi Yan
Keywords
Abstract
Paper
Algorithms -> Unsupervised Learning; Probabilistic Methods -> Graphical Models; Probabilistic Methods -> Latent Variable Models
,
Applications -> Matrix and Tensor Factorization
3:03
06/12/2020
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Arthur Jacot
,
Berfin Simsek
,
Francesco Spadaro
and
Clement Hongler
,
Franck Gabriel
Keywords
Abstract
Paper
3:16
06/12/2020
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka
,
Alejandro Catalina
,
Michael Andersen
and
Måns Magnusson
,
Jonathan Huggins
,
Aki Vehtari
Keywords
Abstract
Paper
3:23
06/12/2020
Robust Quantization: One Model to Rule Them All
Moran Shkolnik
,
Brian Chmiel
,
Ron Banner
and
Gil Shomron
,
Yury Nahshan
,
Alex Bronstein
,
Uri Weiser
Keywords
Abstract
Paper
3:13
06/12/2020
Sinkhorn Natural Gradient for Generative Models
Zebang Shen
,
Zhenfu Wang
,
Alejandro Ribeiro
,
Hamed Hassani
Keywords
Abstract
Paper
Online Learning
,
Computational Complexity
,
Information Theory
,
Bayesian Nonparametrics
2:59
06/12/2020
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee
,
Byeong-Uk Lee
,
Ukcheol Shin
,
In So Kweon
Keywords
Abstract
Paper
3:19
06/12/2020
When Counterpoint Meets Chinese Folk Melodies
Nan Jiang
,
Sheng Jin
,
Zhiyao Duan
,
Changshui Zhang
Keywords
Abstract
Paper
3:22
06/12/2020
A mathematical model for automatic differentiation in machine learning
Jérôme Bolte
,
Edouard Pauwels
Keywords
Abstract
Paper
Applications -> Privacy
,
Anonymity
,
and Security; Theory -> Learning Theory
,
Theory -> Information Theory
3:23
06/12/2020
On Uniform Convergence and Low-Norm Interpolation Learning
Lijia Zhou
,
D.J. Sutherland
,
Nati Srebro
Keywords
Abstract
Paper
3:15
06/12/2020
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory
Jie Ren
,
Minjia Zhang
,
Dong Li
Keywords
Abstract
Paper
3:33
06/12/2020
The Complete Lasso Tradeoff Diagram
Hua Wang
,
Elsa Yang
,
Zhiqi Bu
,
Weijie Su
Keywords
Abstract
Paper
3:23
06/12/2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
Kai Rawal
,
Himabindu Lakkaraju
Keywords
Abstract
Paper
3:31
06/12/2020
Fairness with Overlapping Groups; a Probabilistic Perspective
Forest Yang
,
Mouhamadou M Cisse
,
Sanmi Koyejo
Keywords
Abstract
Paper
3:25
06/12/2020
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan Gamella
,
Christina Heinze-Deml
Keywords
Abstract
Paper
3:15
06/12/2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang
,
Furu Wei
,
Li Dong
and
Hangbo Bao
,
Nan Yang
,
Ming Zhou
Keywords
Abstract
Paper
3:21
06/12/2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Zifeng Wang
,
Xi Chen
,
Rui Wen
and
Shao-Lun Huang
,
Ercan E Kuruoglu
,
Yefeng Zheng
Keywords
Abstract
Paper
3:23
06/12/2020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva
,
Otilia Stretcu
,
Barnabas Poczos
and
Leila Wehbe
,
Tom Mitchell
Keywords
Abstract
Paper
3:24
06/12/2020
An Unbiased Risk Estimator for Learning with Augmented Classes
Yu-Jie Zhang
,
Peng Zhao
,
Lanjihong Ma
,
Zhi-Hua Zhou
Keywords
Abstract
Paper
3:12
06/12/2020
Instance Selection for GANs
Terrance DeVries
,
Michal Drozdzal
,
Graham W Taylor
Keywords
Abstract
Paper
2:45
06/12/2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit Sohoni
,
Jared Dunnmon
,
Geoffrey Angus
and
Albert Gu
,
Christopher Ré
Keywords
Abstract
Paper
3:18
06/12/2020
Correlation Robust Influence Maximization
Louis Chen
,
Divya Padmanabhan
,
Chee Chin Lim
,
Karthik Natarajan
Keywords
Abstract
Paper
3:19
06/12/2020
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
Yijie Guo
,
Jongwook Choi
,
Marcin Moczulski
and
Shengyu Feng
,
Samy Bengio
,
Mohammad Norouzi
,
Honglak Lee
Keywords
Abstract
Paper
3:30
06/12/2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng
,
Karthik Narasimhan
,
Olga Russakovsky
Keywords
Abstract
Paper
3:09
06/12/2020
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Xueting Li
,
Sifei Liu
,
Shalini De Mello
and
Kihwan Kim
,
Xiaolong Wang
,
Ming-Hsuan Yang
,
Jan Kautz
Keywords
Abstract
Paper
3:16
06/12/2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
Andrew Foong
,
David Burt
,
Yingzhen Li
,
Richard Turner
Keywords
Abstract
Paper
3:23
06/12/2020
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
Pantelis Elinas
,
Edwin Bonilla
,
Louis Tiao
Keywords
Abstract
Paper
3:08
06/12/2020
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
,
Andrew Ilyas
,
Logan Engstrom
and
Ashish Kapoor
,
Aleksander Madry
Keywords
Abstract
Paper
4:16
06/12/2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane MARFOQ
,
CHUAN XU
,
Giovanni Neglia
,
Richard Vidal
Keywords
Abstract
Paper
3:21
06/12/2020
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Alon Talmor
,
Oyvind Tafjord
,
Peter Clark
and
Yoav Goldberg
,
Jonathan Berant
Keywords
Abstract
Paper
3:28
06/12/2020
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang
,
Xiao Yang
,
Yinpeng Dong
and
Kun Xu
,
Jun Zhu
,
Hang Su
Keywords
Abstract
Paper
2:59
06/12/2020
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis
,
Joseph Campbell
,
Mariano Phielipp
and
Stefan Lee
,
Chitta Baral
,
Heni Ben Amor
Keywords
Abstract
Paper
3:09
06/12/2020
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
Constantinos Daskalakis
,
Dhruv Rohatgi
,
Emmanouil Zampetakis
Keywords
Abstract
Paper
3:13
06/12/2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
Randall Balestriero
,
Sebastien PARIS
,
Richard Baraniuk
Keywords
Abstract
Paper
3:17
06/12/2020
Assisted Learning: A Framework for Multi-Organization Learning
Xun Xian
,
Xinran(Carrie) Wang
,
Jie Ding
,
Reza Ghanadan
Keywords
Abstract
Paper
3:14
06/12/2020
Debiasing Averaged Stochastic Gradient Descent to handle missing values
Aude Sportisse
,
Claire Boyer
,
Aymeric Dieuleveut
,
Julie Josse
Keywords
Abstract
Paper
3:23
06/12/2020
Applications of Common Entropy for Causal Inference
Murat Kocaoglu
,
Sanjay Shakkottai
,
Alex Dimakis
and
Constantine Caramanis
,
Sriram Vishwanath
Keywords
Abstract
Paper
3:21
06/12/2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks
lucadiliello Di Liello
,
Pierfrancesco Ardino
,
Jacopo Gobbi
and
Paolo Morettin
,
Stefano Teso
,
Andrea Passerini
Keywords
Abstract
Paper
,
Probabilistic Methods -> Causal Inference
3:07
06/12/2020
A polynomial-time algorithm for learning nonparametric causal graphs
Ming Gao
,
Yi Ding
,
Bryon Aragam
Keywords
Abstract
Paper
3:23
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