Annual Conference Computational Learning Theory | AMiner期刊详情 | AMiner

Annual Conference Computational Learning Theory | AMiner期刊详情 | AMiner

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研究主题

论文（2788）

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时间引用

1Avoiding Exp(k * ) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: from Multiple Seeds to a Single Seed.

Tianyuan Jin,Heyang Zhao,Vincent Y. F. Tan,Quanquan Gu

2026

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2Differentially Private Language Generation and Identification in the Limit (extended Abstract).

Anay Mehrotra,Grigoris Velegkas, Xifan Yu, Felix Zhou

2026引用：1

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3Universality of High-Dimensional Scaling Limits of Stochastic Gradient Descent (extended Abstract).

Reza Gheissari,Aukosh Jagannath

2026

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4Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended Abstract).

Tianhao Wu,Matthew Zurek,Weina Wang,Qiaomin Xie

2026

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5Private Linear Regression Via a Down-Sensitivity to Privacy Reduction.

Ittai Rubinstein, Chris Ge, Samuel B. Hopkins

2026

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6DDPM Score Matching and Distribution Learning (extended Abstract).

Sinho Chewi,Alkis Kalavasis,Anay Mehrotra, Omar Montasser

2026

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7Continuous Time Policy Evaluation is Easier with Noisy Dynamics.

Samuel Robertson, Thomas Newton,Csaba Szepesvári

2026

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8Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay (extended Abstract).

Binghui Li, Zilin Wang, Fengling Chen, Shiyang Zhao, Ruiheng Zheng, Lei Wu

2026

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9Invited Open Problem: is the Power of Deep Learning over Linear Models Inherently Distribution Dependent?

Vitaly Feldman,Pritish Kamath,Nathan Srebro

2026

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10A Quasi-Polynomial Time Mean Estimator under Mean-Shift Contamination with Unknown Covariance.

Ilias Diakonikolas, Jingyi Gao, Giannis Iakovidis,Daniel M. Kane,Sihan Liu, Thanasis Pittas

2026

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11Spectral Valleys and Sharp Failures in Greedy Determinant Maximization.

2026

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12On the Importance of Randomization in Discriminative Feature Feedback.

Valentio Iverson, Tosca Lechner,Sivan Sabato

2026

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13Nearly Linear-Time User-Level DP-SCO with Optimal Rates.

Badih Ghazi,Ravi Kumar,Daogao Liu,Pasin Manurangsi

2026

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14Second-Order Bounds for [0, 1]-Valued Regression Via Betting Loss.

Yinan Li, Sungjoon Yoon, Ethan Huang, Kwang-Sung Jun

2026

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15Omniprediction with Long-Term Constraints.

Yahav Bechavod, Jiuyao Lu, Aaron Roth

2026

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16Learning Ising Models from Evolutions (extended Abstract).

Jason Gaitonde,Ankur Moitra,Elchanan Mossel

2026

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17Learning Periodic Strategies in Blocking Bandits is As Hard As Bandits with Switching Costs.

Nicolò Cesa-Bianchi,Junya Honda,Yuko Kuroki,Atsushi Miyauchi, Lukas Zierahn

2026

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18Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design.

Maria-Florina Balcan,Wesley Pegden,Dravyansh Sharma

2026引用：1

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19Worst-case Error Bounds for Online Learning of Smooth Functions.

Weian (Andrew) Xie

2026

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20The Monotonicity of the Franz-Parisi Potential is Equivalent to Low-Degree MMSE Lower Bounds: Extended Abstract.

Konstantinos Tsirkas, Leda Wang, Ilias Zadik

2026

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高被引作者

作者	引用	发文
David E. (Dave) Goldberg	51373	1
John Henry Holland	51373	1
Yoram Singer	25912	18
Vladimir Vapnik	19207	3
Isabelle Guyon	19106	1
Bernhard E. Boser	19106	1
Elad Hazan	18875	26
John Duchi	16909	14
Avrim Blum	12013	31
Robert Schapire	10305	33

高产作者

作者	引用	发文
Yishay Mansour	3823	49
Manfred K. Warmuth	2471	46
Peter L. Bartlett	5823	44
Sasha Rakhlin	3498	41
Nicolò Cesa-Bianchi	2892	40
Daniel M. Kane	683	39
Ilias Diakonikolas	693	38
Ohad Shamir	3300	38
Robert Schapire	10305	33
Shay Moran	359	33

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