09/07/2020
Bounds in query learning
Hunter S Chase, James Freitag
Keywords Paper
Interactive learning, Active learning, Supervised learning
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0
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0
14:26
09/07/2020
How to trap a gradient flow
Dan Mikulincer, Sebastien Bubeck
Keywords Paper
Non-convex optimization,
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0
0
0
15:01
09/07/2020
How Good is SGD with Random Shuffling?
Itay M Safran, Ohad Shamir
Keywords Paper
Convex optimization,
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0
0
0
11:50
09/07/2020
Winnowing with Gradient Descent
Ehsan Amid, Manfred K. Warmuth
Keywords Paper
Online learning,
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0
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0
14:22
09/07/2020
Complexity Guarantees for Polyak Steps with Momentum
Mathieu Barre, Adrien B Taylor, Alexandre d'Aspremont
Keywords Paper
Convex optimization,
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0
0
0
14:05
09/07/2020
Faster Projection-free Online Learning
Elad Hazan, Edgar Minasyan
Keywords Paper
Online learning, Convex optimization
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0
0
0
15:04
09/07/2020
Active Local Learning
Arturs Backurs, Avrim Blum, Neha Gupta
Keywords Paper
Active learning, Supervised learning
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0
0
0
12:30
09/07/2020
Privately Learning Thresholds: Closing the Exponential Gap
Haim Kaplan, Katrina Ligett, Yishay Mansour and
Keywords Paper
Privacy, fairness, PAC learning
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0
0
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14:44
09/07/2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
Antonio Blanca, Zongchen Chen, Eric Vigoda, Daniel Stefankovic
Keywords Paper
Distribution learning/testing, Computational complexity, Learning from complex/structured data (e.g. networks, time series)
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0
0
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15:20
09/07/2020
Logistic Regression Regret: What’s the Catch?
Gil I Shamir
Keywords Paper
Online learning, Convex optimization, Information theory, Regression
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0
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16:03
09/07/2020
Highly smooth minimization of non-smooth problems
Brian Bullins
Keywords Paper
Convex optimization, Regression
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0
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0
12:55
09/07/2020
Universal Approximation with Deep Narrow Networks
Patrick Kidger, Terry J Lyons
Keywords Paper
Neural networks/deep learning, Regression
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13:40