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researcher

Jakob Heiss

UC Berkeley

14 papers hereh-index 6113 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • stat.ML4
  • cs.GT3
  • math.OC1
  • stat.AP1
affiliations
  • UC Berkeley
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedMonotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment

7 citations · 23 across the 14 of their papers we have counts for

collaborators
Showing cs.GTShow all

3 papers · 1 filter

cs.GT2024

Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All

Ermis Soumalias, Jakob Heiss, Jakob Weissteiner +1

We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address th…

cs.GT2023★ 4 cited

Machine Learning-Powered Combinatorial Clock Auction

Ermis Soumalias, Jakob Weissteiner, Jakob Heiss +1

We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address th…

cs.GT2021★ 7 cited

Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment

Jakob Weissteiner, Jakob Heiss, Julien Siems +1

Many important resource allocation problems involve the combinatorial assignment of items, e.g., auctions or course allocation. Because the bundle space grows exponentially in the…

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