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1907.05772
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Exploration by Optimisation in Partial Monitoring
Annual Conference Computational Learning Theory (COLT), 2019
12 July 2019
Tor Lattimore
Csaba Szepesvári
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Papers citing
"Exploration by Optimisation in Partial Monitoring"
22 / 22 papers shown
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
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Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
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Jiachun Li
Alexander Rakhlin
D. Simchi-Levi
402
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18 Feb 2025
Decision Making in Hybrid Environments: A Model Aggregation Approach
Annual Conference Computational Learning Theory (COLT), 2025
Haolin Liu
Chen-Yu Wei
Julian Zimmert
458
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0
09 Feb 2025
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Neural Information Processing Systems (NeurIPS), 2024
Fan Chen
Dylan J. Foster
Yanjun Han
Jian Qian
Alexander Rakhlin
Yunbei Xu
273
4
0
07 Oct 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of
Θ
(
T
2
/
3
)
Θ(T^{2/3})
Θ
(
T
2/3
)
and its Application to Best-of-Both-Worlds
Taira Tsuchiya
Shinji Ito
360
2
0
30 May 2024
Regret Minimization via Saddle Point Optimization
Neural Information Processing Systems (NeurIPS), 2024
Johannes Kirschner
Seyed Alireza Bakhtiari
Kushagra Chandak
Volodymyr Tkachuk
Csaba Szepesvári
213
2
0
15 Mar 2024
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
Taira Tsuchiya
Shinji Ito
Junya Honda
246
3
0
13 Feb 2024
Randomized Confidence Bounds for Stochastic Partial Monitoring
M. Heuillet
Ola Ahmad
Audrey Durand
338
2
0
07 Feb 2024
On the Minimax Regret in Online Ranking with Top-k Feedback
Mingyuan Zhang
Ambuj Tewari
179
0
0
05 Sep 2023
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
Neural Information Processing Systems (NeurIPS), 2023
Taira Tsuchiya
Shinji Ito
Junya Honda
238
13
0
26 May 2023
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications
Journal of machine learning research (JMLR), 2023
Johannes Kirschner
Tor Lattimore
Andreas Krause
277
10
0
07 Feb 2023
Best-of-Both-Worlds Algorithms for Partial Monitoring
International Conference on Algorithmic Learning Theory (ALT), 2022
Taira Tsuchiya
Shinji Ito
Junya Honda
424
18
0
29 Jul 2022
On the Complexity of Adversarial Decision Making
Neural Information Processing Systems (NeurIPS), 2022
Dylan J. Foster
Alexander Rakhlin
Ayush Sekhari
Karthik Sridharan
AAML
208
31
0
27 Jun 2022
Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret
Annual Conference Computational Learning Theory (COLT), 2022
Tor Lattimore
151
17
0
22 Feb 2022
Gaussian Imagination in Bandit Learning
Yueyang Liu
Adithya M. Devraj
Benjamin Van Roy
Kuang Xu
227
7
0
06 Jan 2022
Isotuning With Applications To Scale-Free Online Learning
Laurent Orseau
Marcus Hutter
281
6
0
29 Dec 2021
Scale-Free Adversarial Multi-Armed Bandit with Arbitrary Feedback Delays
Jiatai Huang
Yan Dai
Longbo Huang
AI4CE
351
2
0
26 Oct 2021
Scale Free Adversarial Multi Armed Bandits
International Conference on Algorithmic Learning Theory (ALT), 2021
Sudeep Raja Putta
Shipra Agrawal
217
11
0
08 Jun 2021
A Bit Better? Quantifying Information for Bandit Learning
Adithya M. Devraj
Benjamin Van Roy
Kuang Xu
112
5
0
18 Feb 2021
Mirror Descent and the Information Ratio
Annual Conference Computational Learning Theory (COLT), 2020
Tor Lattimore
András Gyorgy
229
45
0
25 Sep 2020
Matrix games with bandit feedback
Brendan O'Donoghue
Tor Lattimore
Ian Osband
150
12
0
09 Jun 2020
Information Directed Sampling for Linear Partial Monitoring
Annual Conference Computational Learning Theory (COLT), 2020
Johannes Kirschner
Tor Lattimore
Andreas Krause
247
51
0
25 Feb 2020
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