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Forecast aggregation combines the predictions of multiple forecasters to improve accuracy.
Über die zusammenziehende und lipschitzsche transformationen
Kirszbraun, M. (1934) · 1934
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A further generalization of the kakutani fixed theorem, with application to nash equilibrium points
Glicksberg, I. L. (1952) · 1952
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Linear programming and extensions
Dantzig, G. B. (1963) · 1963
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A polynomial time algorithm in linear programming
Khachiyan, G. L. (1979) · 1979
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A multiplicative formula for aggregating probability assessments
Bordley, R. F. (1982) · 1982
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Scoring rules and the evaluation of probabilities
Winkler, R., Muñoz, J., Cervera, J., Bernardo, J., Blattenberger, G., Kadane, J., Lindley, D., Murphy, A., Oliver, R., and Ríos-Insua, D. (1996) · 1996
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A decision-theoretic generalization of online-learning and an application to boosting
Freund, Y. and Schapire, R. E. (1997) · 1997
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Adaptive game playing using multiplicative weights
Freund, Y. and Schapire, R. E. (1999) · 1999
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Basic real analysis
Sohrab, H. H. (2003) · 2003
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Convex optimization
Boyd, S. P. and Vandenberghe, L. (2004) · 2004
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Strictly proper scoring rules, prediction, and estimation
Gneiting, T. and Raftery, A. E. (2007) · 2007
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Revenue maximization with a single sample
Dhangwatnotai, P., Roughgarden, T., and Yan, Q. (2010) · 2010
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Algorithmic game theory
Roughgarden, T. (2010) · 2010
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Near-optimal no-regret algorithms for zero-sum games
Daskalakis, C., Deckelbaum, A., and Kim, A. (2011) · 2011
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Prior-independent multi-parameter mechanism design
Devanur, N., Hartline, J., Karlin, A., and Nguyen, T. (2011) · 2011
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Distances between probability measures
Chatterjee, S. (2008) · 2013
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Prior-independent mechanisms for scheduling
Chawla, S., Hartline, J. D., Malec, D., and Sivan, B. (2013) · 2013
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Two reasons to make aggregated probability forecasts more extreme
Baron, J., Mellers, B. A., Tetlock, P. E., Stone, E., and Ungar, L. H. (2014) · 2014
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Real analysis and probability
Dudley, R. M. (2018) · 2018
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Last-iterate convergence : zero-sum games and constrained min-max optimization
Daskalakis, C. and Panageas, I. (2019) · 2019
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Extracting the wisdom of crowds when information is shared
Palley, A. B. and Soll, J. B. (2019) · 2019
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Prior-independent optimal auctions
Allouah, A. and Besbes, O. (2020) · 2020
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Benchmark design and prior-independent optimization
Hartline, J., Johnsen, A., and Li, Y. (2020) · 2020
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Robust merging of information
De Oliveira, H., Ishii, Y., and Lin, X. (2021) · 2021
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Recent advances in robust optimization: An overview
Gabrel, V., Murat, C., and Thiele, A. (2014) · 2014
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Combining multiple probability predictions using a simple logit model
Satopää, V. A., Baron, J., Foster, D. P., Mellers, B. A., Tetlock, P. E., and Ungar, L. H. (2014) · 2014
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Randomization beats second price as a prior-independent auction
Fu, H., Immorlica, N., Lucier, B., and Strack, P. (2015) · 2015
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Combining and extremizing real-valued forecasts
Satopää, V. and Ungar, L. (2015) · 2015
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A solution to the single-question crowd wisdom problem
Prelec, D., Seung, H. S., and McCoy, J. (2017) · 2017
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Robust forecast aggregation
Arieli, I., Babichenko, Y., and Smorodinsky, R. (2018) · 2018
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On the robustness of second-price auctions in prior-independent mechanism design
Anunrojwong, J., Balseiro, S., and Besbes, O. (2022) · 2022
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Combining forecasts in the presence of ambiguity over correlation structures
Levy, G. and Razin, R. (2022) · 2022
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Are you smarter than a random expert? the robust aggregation of substitutable signals
Neyman, E. and Roughgarden, T. (2022) · 2022
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Online Learning and Solving Infinite Games with an ERM oracle
Assos, A., Attias, I., Dagan, Y., Daskalakis, C., and Fishelson, M. (2023) · 2023
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Near-Optimal Prior-Independent Online Algorithms and the Ski-Rental Problem
Hartline, J. D., Johnsen, A., and Shah, A. (2023) · 2023
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