Publications (4)
Optimizing the CGMS upper bound on Ramsey numbers
Parth Gupta, Ndiame Ndiaye, Sergey Norin +1
In a recent breakthrough Campos, Griffiths, Morris and Sahasrabudhe obtained the first exponential improvement of the upper bound on the diagonal Ramsey numbers since 1935. We shor…
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach
Tao Yang, Cuize Han, Chen Luo +3
Ranking is at the core of many artificial intelligence (AI) applications, including search engines, recommender systems, etc. Modern ranking systems are often constructed with lear…
Analysis of E-commerce Ranking Signals via Signal Temporal Logic
Tommaso Dreossi, Giorgio Ballardin, Parth Gupta +3
The timed position of documents retrieved by learning to rank models can be seen as signals. Signals carry useful information such as drop or rise of documents over time or user be…
Squeezing bottlenecks: exploring the limits of autoencoder semantic representation capabilities
Parth Gupta, Rafael E. Banchs, Paolo Rosso
We present a comprehensive study on the use of autoencoders for modelling text data, in which (differently from previous studies) we focus our attention on the following issues: i)…