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Found 7 papers, 0 papers with code
The Role of the Marketplace Operator in Inducing Competition
The steady rise of e-commerce marketplaces underscores the need to study a market structure that captures the key features of this setting.
C-3DPO: Constrained Controlled Classification for Direct Preference Optimization
We then leverage this classification framework to demonstrate that the underlying problem solved in these algorithms is under-specified, making them susceptible to probability collapse of the winner-loser responses.
A shared-revenue Bertrand game
We introduce and analyze a variation of the Bertrand game in which the revenue is shared between two players.
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data
Modern time-series forecasting models often fail to make full use of rich unstructured information about the time series themselves.
Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
The key insight of our procedure is that the noisy (but unbiased) difference-of-means estimate can be used as a ground truth ``label" on a portion of the RCT, to test the performance of an estimator trained on the other portion.
Improved graph Laplacian via geometric self-consistency
We address the problem of setting the kernel bandwidth used by Manifold Learning algorithms to construct the graph Laplacian.
Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs
This paper considers the problem of embedding directed graphs in Euclidean space while retaining directional information.
