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Grigoris Velegkas
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2020 – today
- 2025
- [c19]Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas:
Understanding Aggregations of Proper Learners in Multiclass Classification. ALT 2025: 89-111 - [i20]Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas:
On Agnostic PAC Learning in the Small Error Regime. CoRR abs/2502.09496 (2025) - 2024
- [c18]Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss. COLT 2024: 359-405 - [c17]Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou:
Replicable Learning of Large-Margin Halfspaces. ICML 2024 - [c16]Gagan Aggarwal, Anupam Gupta, Andrés Perlroth, Grigoris Velegkas:
Randomized Truthful Auctions with Learning Agents. NeurIPS 2024 - [c15]Steve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas:
Universal Rates for Active Learning. NeurIPS 2024 - [c14]Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis:
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models. NeurIPS 2024 - [c13]Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou:
On the Computational Landscape of Replicable Learning. NeurIPS 2024 - [c12]Yang Cai
, Zhe Feng
, Christopher Liaw
, Aranyak Mehta
, Grigoris Velegkas
:
User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization. WWW 2024: 111-122 - [i19]Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou:
Replicable Learning of Large-Margin Halfspaces. CoRR abs/2402.13857 (2024) - [i18]Quanquan C. Liu, Grigoris Velegkas, Yuichi Yoshida, Felix Zhou:
Pointwise Lipschitz Continuous Graph Algorithms via Proximal Gradient Analysis. CoRR abs/2405.08938 (2024) - [i17]Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou:
On the Computational Landscape of Replicable Learning. CoRR abs/2405.15599 (2024) - [i16]Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis:
Injecting Undetectable Backdoors in Deep Learning and Language Models. CoRR abs/2406.05660 (2024) - [i15]Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas:
Understanding Aggregations of Proper Learners in Multiclass Classification. CoRR abs/2410.22749 (2024) - [i14]Gagan Aggarwal, Anupam Gupta, Andrés Perlroth, Grigoris Velegkas:
Randomized Truthful Auctions with Learning Agents. CoRR abs/2411.09517 (2024) - [i13]Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas:
On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse. CoRR abs/2411.09642 (2024) - [i12]Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo:
Procurement Auctions via Approximately Optimal Submodular Optimization. CoRR abs/2411.13513 (2024) - [i11]Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas:
Characterizations of Language Generation With Breadth. CoRR abs/2412.18530 (2024) - 2023
- [c11]Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas:
Replicable Bandits. ICLR 2023 - [c10]Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas:
Statistical Indistinguishability of Learning Algorithms. ICML 2023: 15586-15622 - [c9]Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Optimal Learners for Realizable Regression: PAC Learning and Online Learning. NeurIPS 2023 - [c8]Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou:
Replicable Clustering. NeurIPS 2023 - [c7]Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou:
Replicability in Reinforcement Learning. NeurIPS 2023 - [i10]Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou:
Replicable Clustering. CoRR abs/2302.10359 (2023) - [i9]Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas:
Statistical Indistinguishability of Learning Algorithms. CoRR abs/2305.14311 (2023) - [i8]Amin Karbasi, Grigoris Velegkas, Lin F. Yang, Felix Zhou:
Replicability in Reinforcement Learning. CoRR abs/2305.19562 (2023) - [i7]Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Optimal Learners for Realizable Regression: PAC Learning and Online Learning. CoRR abs/2307.03848 (2023) - 2022
- [c6]Steve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas:
Universal Rates for Interactive Learning. NeurIPS 2022 - [c5]Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi:
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes. NeurIPS 2022 - [c4]Grigoris Velegkas, Zhuoran Yang, Amin Karbasi:
Reinforcement Learning with Logarithmic Regret and Policy Switches. NeurIPS 2022 - [c3]Dirk Bergemann, Yang Cai
, Grigoris Velegkas, Mingfei Zhao:
Is Selling Complete Information (Approximately) Optimal? EC 2022: 608-663 - [i6]Dirk Bergemann, Yang Cai, Grigoris Velegkas, Mingfei Zhao:
Is Selling Complete Information (Approximately) Optimal? CoRR abs/2202.09013 (2022) - [i5]Grigoris Velegkas, Zhuoran Yang, Amin Karbasi:
The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret and Policy Switches. CoRR abs/2203.01491 (2022) - [i4]Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas:
Reproducible Bandits. CoRR abs/2210.01898 (2022) - [i3]Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi:
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes. CoRR abs/2210.02297 (2022) - 2021
- [c2]Yang Cai
, Grigoris Velegkas
:
How to Sell Information Optimally: An Algorithmic Study. ITCS 2021: 81:1-81:20 - [c1]Yang Cai
, Argyris Oikonomou, Grigoris Velegkas, Mingfei Zhao:
An Efficient ∊-BIC to BIC Transformation and Its Application to Black-Box Reduction in Revenue Maximization. SODA 2021: 1337-1356 - 2020
- [i2]Yang Cai, Grigoris Velegkas:
How to Sell Information Optimally: an Algorithmic Study. CoRR abs/2011.14570 (2020)
2010 – 2019
- 2019
- [i1]Yang Cai, Argyris Oikonomou, Grigoris Velegkas, Mingfei Zhao:
An Efficient ε-BIC to BIC Transformation and Its Application to Black-Box Reduction in Revenue Maximization. CoRR abs/1911.10172 (2019)
Coauthor Index

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last updated on 2025-03-14 17:49 CET by the dblp team
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