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Atilla Eryilmaz

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Semih Cayci

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Publications

2024
[i36]
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  - journals/corr/abs-2402-12241
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Semih Cayci, Atilla Eryilmaz:
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis. CoRR abs/2402.12241 (2024)
2023
[c102]
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  - conf/nips/CayciE23
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Semih Cayci, Atilla Eryilmaz:
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards. NeurIPS 2023
[i34]
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  - journals/corr/abs-2306-11455
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Semih Cayci, Atilla Eryilmaz:
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards. CoRR abs/2306.11455 (2023)
2022
[c100]
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  - conf/aaai/CayciZE22
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Semih Cayci, Yilin Zheng, Atilla Eryilmaz:
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback. AAAI 2022: 3716-3723
2021
[i32]
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  - journals/corr/abs-2106-05165
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Semih Cayci, Yilin Zheng, Atilla Eryilmaz:
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback. CoRR abs/2106.05165 (2021)
2020
[c89]
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  - conf/aistats/CayciE020
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Semih Cayci, Atilla Eryilmaz, R. Srikant:
Budget-Constrained Bandits over General Cost and Reward Distributions. AISTATS 2020: 4388-4398
[c85]
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  - conf/nips/CayciGE20
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Semih Cayci, Swati Gupta, Atilla Eryilmaz:
Group-Fair Online Allocation in Continuous Time. NeurIPS 2020
[i31]
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  - journals/corr/abs-2003-00365
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Semih Cayci, Atilla Eryilmaz, R. Srikant:
Budget-Constrained Bandits over General Cost and Reward Distributions. CoRR abs/2003.00365 (2020)
[i29]
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  - journals/corr/abs-2006-06852
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Semih Cayci, Swati Gupta, Atilla Eryilmaz:
Group-Fair Online Allocation in Continuous Time. CoRR abs/2006.06852 (2020)
[i28]
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  - journals/corr/abs-2007-00081
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Semih Cayci, Atilla Eryilmaz, R. Srikant:
Continuous-Time Multi-Armed Bandits with Controlled Restarts. CoRR abs/2007.00081 (2020)
2019
[j42]
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  - journals/pomacs/CayciES19
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Semih Cayci, Atilla Eryilmaz, R. Srikant:
Learning to Control Renewal Processes with Bandit Feedback. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 43:1-43:32 (2019)
[j40]
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  - journals/ton/CayciE19
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Semih Cayci, Atilla Eryilmaz:
Optimal Learning for Dynamic Coding in Deadline-Constrained Multi-Channel Networks. IEEE/ACM Trans. Netw. 27(3): 1043-1054 (2019)
[c77]
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  - conf/sigmetrics/CayciES19
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Semih Cayci, Atilla Eryilmaz, Rayadurgam Srikant:
Learning to Control Renewal Processes with Bandit Feedback. SIGMETRICS (Abstracts) 2019: 41-42
2018
[i23]
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  - journals/corr/abs-1811-10829
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Semih Cayci, Atilla Eryilmaz:
Optimal Learning for Dynamic Coding in Deadline-Constrained Multi-Channel Networks. CoRR abs/1811.10829 (2018)
2017
[c68]
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  - conf/wiopt/CayciE17
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Semih Cayci, Atilla Eryilmaz:
Learning for serving deadline-constrained traffic in multi-channel wireless networks. WiOpt 2017: 1-8
2016
[c62]
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  - conf/globecom/CayciE16
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Semih Cayci, Atilla Eryilmaz:
On the Multi-Channel Capacity Gains of Millimeter-Wave Communication. GLOBECOM 2016: 1-6

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