3 papers
cs.GT2026
Breaking the Illusion of Artificial Consensus: Clone-Robust Weighting for Arbitrary Metric Spaces
Damien Berriaud, Roger Wattenhofer
Independent media are central to democratic decision-making, yet recent technological developments, such as social media, pseudonymous identities, and generative AI, have made them…
cs.LG2026
Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias for Benchmark Aggregation
Damien Berriaud, Roger Wattenhofer
We are given a set of elements in a metric space. The distribution of the elements is arbitrary, possibly adversarial. Can we weigh the elements in a way that is resistant to such…
cs.GT2025
To Spend or to Gain: Online Learning in Repeated Karma Auctions
Damien Berriaud, Ezzat Elokda, Devansh Jalota +4
Recent years have seen a surge of artificial currency-based mechanisms in contexts where monetary instruments are deemed unfair or inappropriate, e.g., in allocating food donations…