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2Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
J. Negrea, M. Haghifam, G. Dziugaite, A. Khisti, and D. Roy. (2019)cite arxiv:1911.02151Comment: 23 pages, 1 figure. To appear in, Advances in Neural Information Processing Systems (33), 2019.
5 years ago by @kirk86
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neurips2019
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readingsgeneralizationboundsneurips2019informationtheory
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3Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
J. Yang, S. Sun, and D. Roy. (2019)cite arxiv:1908.07585Comment: 18 pages.
5 years ago by @kirk86
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bayesian
readings
generalization
processes
bounds
bayesianreadingsgeneralizationprocessesbounds
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3Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
M. Haghifam, J. Negrea, A. Khisti, D. Roy, and G. Dziugaite. (2020)cite arxiv:2004.12983Comment: 17 pages.
5 years ago by @kirk86
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4Sensitivity and Generalization in Neural Networks: an Empirical Study
R. Novak, Y. Bahri, D. Abolafia, J. Pennington, and J. Sohl-Dickstein. (2018)cite arxiv:1802.08760Comment: Published as a conference paper at ICLR 2018.
5 years ago by @kirk86
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readingsgeneralizationrobustnessuncertainty
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2In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
J. Negrea, G. Dziugaite, and D. Roy. (2019)cite arxiv:1912.04265Comment: 12 pages.
5 years ago by @kirk86
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readingsgeneralizationboundslearning
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2Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
G. Dziugaite, and D. Roy. (2017)cite arxiv:1703.11008Comment: 14 pages, 1 table, 2 figures. Corresponds with UAI camera ready and supplement. Includes additional references and related experiments.
5 years ago by @kirk86
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2Linear Mode Connectivity and the Lottery Ticket Hypothesis
J. Frankle, G. Dziugaite, D. Roy, and M. Carbin. (2019)cite arxiv:1912.05671Comment: This submission subsumes 1903.01611 ("Stabilizing the Lottery Ticket Hypothesis" and "The Lottery Ticket Hypothesis at Scale").
5 years ago by @kirk86
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1An empirical analysis of the optimization of deep network loss surfaces
D. Im, M. Tao, and K. Branson. (2016)cite arxiv:1612.04010.
5 years ago by @kirk86
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readingsgeneralizationoptimization
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3Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
J. Yang, S. Sun, and D. Roy. (2019)
5 years ago by @kirk86
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complexity
generalization
bounds
neurips2019
complexitygeneralizationboundsneurips2019
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3Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
I. Diakonikolas, D. Kane, and P. Manurangsi. (2019)
5 years ago by @kirk86
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generalization
robustness
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neurips2019
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2Controlling Bias in Adaptive Data Analysis Using Information Theory
D. Russo, and J. Zou. Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, volume 51 of Proceedings of Machine Learning Research, page 1232--1240. Cadiz, Spain, PMLR, (09--11 May 2016)
5 years ago by @kirk86
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generalization
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1Topology and Geometry of Half-Rectified Network Optimization
C. Freeman, and J. Bruna. (2016)cite arxiv:1611.01540Comment: 22 Pages (10 main + Appendices), 4 Figures, 1 Table, Published as a conference paper at ICLR 2017.
5 years ago by @kirk86
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approximate
generalization
optimization
topology
approximategeneralizationoptimizationtopology
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1Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy
M. Ghaemi, D. DiGiulio, K. Contrepois, B. Callahan, T. Ngo, B. Lee-McMullen, B. Lehallier, A. Robaczewska, D. Mcilwain, Y. Rosenberg-Hasson and 1 other author(s). Bioinformatics, 35 (1): 95--103 (2019)
5 years ago by @becker
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stackedpaper:milkreview:selectedmchripregnancypaper:cordispretermmultipaper:fastcorgeneralizationpaper:stressmultiomicsmultiomicselasticnet
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2Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
R. Novak, L. Xiao, J. Lee, Y. Bahri, G. Yang, J. Hron, D. Abolafia, J. Pennington, and J. Sohl-Dickstein. (2018)cite arxiv:1810.05148Comment: Published as a conference paper at ICLR 2019.
5 years ago by @kirk86
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gaussian-proceses
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2On the Information Bottleneck Theory of Deep Learning
A. Saxe, Y. Bansal, J. Dapello, M. Advani, A. Kolchinsky, B. Tracey, and D. Cox. International Conference on Learning Representations, (2018)
5 years ago by @kirk86
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deep-learning
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1Stabilizing the Lottery Ticket Hypothesis
J. Frankle, G. Dziugaite, D. Roy, and M. Carbin. (2019)cite arxiv:1903.01611.
5 years ago by @kirk86
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generalization
stable
sparsity
generalizationstablesparsity
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2The Lottery Ticket Hypothesis at Scale
J. Frankle, G. Dziugaite, D. Roy, and M. Carbin. (2019)cite arxiv:1903.01611.
6 years ago by @kirk86
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generalization
bounds
generalizationbounds
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2Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
M. Belkin, D. Hsu, and P. Mitra. (2018)cite arxiv:1806.05161.
6 years ago by @kirk86
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generalization
bounds
learning
generalizationboundslearning
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1Modular decomposition in visuomotor learning
Z. Ghahramani, and D. Wolpert. Nature, (March 1997)
16 years ago by @butz
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internal
virtual
experts,
model,
mixtrue
receptive
adaptation,
task
generalization
decomposition,
field,
of
reaching,
reality,
prism
internalvirtualexperts,model,mixtruereceptiveadaptation,taskgeneralizationdecomposition,field,ofreaching,reality,prism
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2Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates

3Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes

3Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms

4Sensitivity and Generalization in Neural Networks: an Empirical Study

2In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors

2Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

2Linear Mode Connectivity and the Lottery Ticket Hypothesis

1An empirical analysis of the optimization of deep network loss surfaces

3Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes

3Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin

2Controlling Bias in Adaptive Data Analysis Using Information Theory

1Topology and Geometry of Half-Rectified Network Optimization

1Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy

2Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes

2On the Information Bottleneck Theory of Deep Learning

1Stabilizing the Lottery Ticket Hypothesis

2The Lottery Ticket Hypothesis at Scale

2Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate

1Modular decomposition in visuomotor learning

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publications (hide)19 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

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publications (hide)19
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