Anand Krishna
Anand Krishna
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LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimization
We study a robust online convex optimization framework, where an adversary can introduce outliers by corrupting loss functions in an …
Adarsh Barik
,
Anand Krishna
,
Vincent Y. F. Tan
Sublinear Approximation Algorithm for Nash Social Welfare with XOS Valuations
We study the problem of allocating indivisible goods among $n$ agents with the objective of maximizing Nash social welfare (NSW). This …
Siddharth Barman
,
Anand Krishna
,
Pooja Kulkarni
,
Shivika Narang
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Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations
We study the problem of allocating indivisible goods among agents in a fair manner. While envy-free allocations of indivisible goods …
Siddharth Barman
,
Anand Krishna
,
Yadati Narahari
,
Soumyarup Sadhukan
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