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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 34 occurrences of 30 keywords
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Results
Found 67 publication records. Showing 67 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Adam Tauman Kalai, Ankur Moitra, Gregory Valiant |
Disentangling Gaussians.  |
Commun. ACM  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai, Ehud Kalai |
Cooperation in two person games, revisited.  |
SIGecom Exchanges  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, Adam Kalai |
Adaptively Learning the Crowd Kernel.  |
ICML  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Sham M. Kakade, Adam Kalai, Varun Kanade, Ohad Shamir |
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression.  |
NIPS  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Sham Kakade, Adam Tauman Kalai, Varun Kanade, Ohad Shamir |
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression  |
CoRR  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Nicole Immorlica, Adam Tauman Kalai, Brendan Lucier, Ankur Moitra, Andrew Postlewaite, Moshe Tennenholtz |
Dueling Algorithms  |
CoRR  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, Adam Tauman Kalai |
Adaptively Learning the Crowd Kernel  |
CoRR  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Brendan Juba, Adam Tauman Kalai, Sanjeev Khanna, Madhu Sudan |
Compression without a common prior: an information-theoretic justification for ambiguity in language.  |
ICS  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Nicole Immorlica, Adam Tauman Kalai, Brendan Lucier, Ankur Moitra, Andrew Postlewaite, Moshe Tennenholtz |
Dueling algorithms.  |
STOC  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Aaron Roth, Maria-Florina Balcan, Adam Kalai, Yishay Mansour |
On the Equilibria of Alternating Move Games.  |
SODA  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Adam Kalai, Michael Mitzenmacher, Madhu Sudan |
Tight asymptotic bounds for the deletion channel with small deletion probabilities.  |
ISIT  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Michal Feldman, Adam Kalai, Moshe Tennenholtz |
Playing Games without Observing Payoffs.  |
ICS  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Ehud Kalai, Ehud Lehrer, Dov Samet |
A commitment folk theorem.  |
Games and Economic Behavior  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Christian Borgs, Jennifer T. Chayes, Nicole Immorlica, Adam Tauman Kalai, Vahab S. Mirrokni, Christos H. Papadimitriou |
The myth of the Folk Theorem.  |
Games and Economic Behavior  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Christian Borgs, Jennifer T. Chayes, Adam Tauman Kalai, Azarakhsh Malekian, Moshe Tennenholtz |
A Novel Approach to Propagating Distrust.  |
WINE  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Ehud Kalai |
Cooperation and competition in strategic games with private information.  |
ACM Conference on Electronic Commerce  |
2010 |
DBLP DOI BibTeX RDF |
bargaining, cooperative game theory, noncooperative game theory |
| 1 | Adam Tauman Kalai, Mehryar Mohri (eds.) |
COLT 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010  |
COLT  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Ankur Moitra, Gregory Valiant |
Efficiently learning mixtures of two Gaussians.  |
STOC  |
2010 |
DBLP DOI BibTeX RDF |
Gaussians, finite mixture models, method of moments |
| 1 | Adam Kalai, Varun Kanade |
Potential-Based Agnostic Boosting.  |
NIPS  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni |
Analysis of Perceptron-Based Active Learning.  |
Journal of Machine Learning Research  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett |
Playing Games with Approximation Algorithms.  |
SIAM J. Comput.  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Varun Kanade, Yishay Mansour |
Reliable Agnostic Learning.  |
COLT  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Ravi Sastry |
The Isotron Algorithm: High-Dimensional Isotonic Regression.  |
COLT  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua Teng |
Learning and Smoothed Analysis.  |
FOCS  |
2009 |
DBLP DOI BibTeX RDF |
Computational Learning Theory, Smoothed Analysis |
| 1 | Reid Andersen, Christian Borgs, Jennifer T. Chayes, Uriel Feige, Abraham D. Flaxman, Adam Kalai, Vahab S. Mirrokni, Moshe Tennenholtz |
Trust-based recommendation systems: an axiomatic approach.  |
WWW  |
2008 |
DBLP DOI BibTeX RDF |
recommendation systems, reputation systems, trust networks, axiomatic approach |
| 1 | Parikshit Gopalan, Adam Kalai, Adam R. Klivans |
A Query Algorithm for Agnostically Learning DNF?.  |
COLT  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Shang-Hua Teng |
Decision trees are PAC-learnable from most product distributions: a smoothed analysis  |
CoRR  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio |
Agnostically Learning Halfspaces.  |
SIAM J. Comput.  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Parikshit Gopalan, Adam Tauman Kalai, Adam R. Klivans |
Agnostically learning decision trees.  |
STOC  |
2008 |
DBLP DOI BibTeX RDF |
learning in the presence of noise, decision trees, agnostic learning |
| 1 | Adam Tauman Kalai, Yishay Mansour, Elad Verbin |
On agnostic boosting and parity learning.  |
STOC  |
2008 |
DBLP DOI BibTeX RDF |
agnostic boosting, learning parity with noise, sub-exponential algorithms, agnostic learning |
| 1 | Christian Borgs, Jennifer T. Chayes, Nicole Immorlica, Adam Tauman Kalai, Vahab S. Mirrokni, Christos H. Papadimitriou |
The myth of the folk theorem.  |
STOC  |
2008 |
DBLP DOI BibTeX RDF |
folk theorem, ppad, nash equilibrium |
| 1 | Christian Borgs, Jennifer T. Chayes, Nicole Immorlica, Adam Kalai, Vahab S. Mirrokni, Christos H. Papadimitriou |
The Myth of the Folk Theorem.  |
Electronic Colloquium on Computational Complexity (ECCC)  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai |
Learning Nested Halfspaces and Uphill Decision Trees.  |
COLT  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett |
Playing games with approximation algorithms.  |
STOC  |
2007 |
DBLP DOI BibTeX RDF |
online linear optimization, approximation algorithms, regret minimization |
| 1 | Ivona Bezáková, Adam Kalai, Rahul Santhanam |
Graph model selection using maximum likelihood.  |
ICML  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal |
Logarithmic Regret Algorithms for Online Convex Optimization.  |
COLT  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Santosh Vempala |
Simulated Annealing for Convex Optimization.  |
Math. Oper. Res.  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Eli Ben-Sasson, Adam Tauman Kalai, Ehud Kalai |
An Approach to Bounded Rationality.  |
NIPS  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Sham M. Kakade, Adam Kalai |
From Batch to Transductive Online Learning.  |
NIPS ![In: Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Rocco A. Servedio |
Boosting in the presence of noise.  |
J. Comput. Syst. Sci.  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Santosh Vempala |
Efficient algorithms for online decision problems.  |
J. Comput. Syst. Sci.  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Abraham Flaxman, Adam Tauman Kalai, H. Brendan McMahan |
Online convex optimization in the bandit setting: gradient descent without a gradient.  |
SODA  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni |
Analysis of Perceptron-Based Active Learning.  |
COLT  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio |
Agnostically Learning Halfspaces.  |
FOCS  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai |
Learning Monotonic Linear Functions.  |
COLT  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Abraham Flaxman, Adam Tauman Kalai, H. Brendan McMahan |
Online convex optimization in the bandit setting: gradient descent without a gradient  |
CoRR  |
2004 |
DBLP BibTeX RDF |
|
| 1 | Avrim Blum, Shuchi Chawla, Adam Kalai |
Static Optimality and Dynamic Search-Optimality in Lists and Trees.  |
Algorithmica  |
2003 |
DBLP DOI BibTeX RDF |
Adaptive data structures, Experts Analysis, Competitive Analysis, Binary search trees |
| 1 | Avrim Blum, Adam Kalai, Hal Wasserman |
Noise-tolerant learning, the parity problem, and the statistical query model.  |
J. ACM  |
2003 |
DBLP DOI BibTeX RDF |
machine learning, Computational learning theory, statistical queries |
| 1 | Adam Kalai |
Generating Random Factored Numbers, Easily.  |
J. Cryptology  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai, Santosh Vempala |
Efficient Algorithms for Online Decision Problems.  |
COLT  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai, Rocco A. Servedio |
Boosting in the presence of noise.  |
STOC  |
2003 |
DBLP DOI BibTeX RDF |
machine learning, boosting |
| 1 | Avrim Blum, Adam Tauman Kalai, Jon M. Kleinberg |
Admission Control to Minimize Rejections.  |
Internet Mathematics  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai, Santosh Vempala |
Efficient Algorithms for Universal Portfolios.  |
Journal of Machine Learning Research  |
2002 |
DBLP BibTeX RDF |
|
| 1 | Steven M. Seitz, Adam Kalai, Heung-Yeung Shum |
Omnivergent Stereo.  |
International Journal of Computer Vision  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai |
Efficient pattern-matching with don't cares.  |
SODA  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam Kalai |
Generating random factored numbers, easily.  |
SODA  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, Shuchi Chawla, Adam Kalai |
Static optimality and dynamic search-optimality in lists and trees.  |
SODA  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, Adam Kalai, Jon M. Kleinberg |
Admission Control to Minimize Rejections.  |
WADS  |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, Adam Kalai, Hal Wasserman |
Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model  |
CoRR  |
2000 |
DBLP BibTeX RDF |
|
| 1 | Adam Kalai, Santosh Vempala |
Efficient Algorithms for Universal Portfolios.  |
FOCS  |
2000 |
DBLP DOI BibTeX RDF |
universal portfolios, constant rebalanced portfolio, wealth, best constant rebalanced portfolio, Universal algorithm, non-uniform random walks, non-financial applications, language modelin, data compression, data compression, stock markets, performance guarantees, investment, competitive algorithms, competitive algorithm, investment strategy |
| 1 | Avrim Blum, Adam Kalai, Hal Wasserman |
Noise-tolerant learning, the parity problem, and the statistical query model.  |
STOC  |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, Adam Kalai |
Universal Portfolios With and Without Transaction Costs.  |
Machine Learning  |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Heung-Yeung Shum, Adam Kalai, Steven M. Seitz |
Omnivergent Stereo. (PDF / PS)  |
ICCV  |
1999 |
DBLP BibTeX RDF |
|
| 1 | Avrim Blum, Adam Kalai, John Langford |
Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation.  |
COLT  |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, Carl Burch, Adam Kalai |
Finely-Competitive Paging.  |
FOCS  |
1999 |
DBLP DOI BibTeX RDF |
combining expert advice, machine learning, online algorithms, paging |
| 1 | Avrim Blum, Adam Kalai |
A Note on Learning from Multiple-Instance Examples.  |
Machine Learning  |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, Adam Kalai |
Universal Portfolios With and Without Transaction Costs.  |
COLT  |
1997 |
DBLP DOI BibTeX RDF |
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