AdaptDB: Adaptive Partitioning for Distributed Joins by Jundal, Alekh, Lu, Yi, Shanbhag, Anil Atmanand, Madden, Samuel R

“…Many techniques based on data partitioning have been proposed to reduce the amount of data that must be accessed, often focusing on finding the best partitioning scheme for a particular workload, rather than adapting to changes in the workload over time. In this paper, we present AdaptDB, an adaptive storage manager for analytical database workloads in a distributed setting. …”
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NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications by Yang, Tien-Ju, Howard, Andrew, Chen, Bo, Zhang, Xiao, Go, Alec, Sandler, Mark, Sze, Vivienne, Adam, Hartwig

“…This work proposes an algorithm, called NetAdapt, that automatically adapts a pre-trained deep neural network to a mobile platform given a resource budget. …”
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Cache-Adaptive Analysis by Bender, Michael A., Ebrahimi, Roozbeh, Fineman, Jeremy T., Johnson, Rob, Lincoln, Andrea, McCauley, Samuel, Demaine, Erik D, Lynch, Jayson R.

“…These techniques make analyzing algorithms in the cache-adaptive model almost as easy as in the external memory, or DAM model. …”
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Adaptive Hybrid Indexes by Anneser, Christoph, Kipf, Andreas, Zhang, Huanchen, Neumann, Thomas, Kemper, Alfons

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Locally adaptive sampling by Feizi-Khankandi, Soheil, Goyal, Vivek K., Medard, Muriel

“…In this paper, we introduce a class of Locally Adaptive Sampling schemes. In this sampling family, time intervals between samples can be computed by using a function of previously taken samples, called a sampling function. …”
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Adaptive alternating minimization algorithms by Niesen, Urs, Shah, Devavrat, Wornell, Gregory W.

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ALEX: An Updatable Adaptive Learned Index by Ding, Jialin, Minhas, Umar Farooq, Yu, Jia, Wang, Chi, Do, Jaeyoung, Li, Yinan, Zhang, Hantian, Chandramouli, Badrish, Gehrke, Johannes, Kossman, Donald, Lomet, David, Kraska, Tim

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ALEX: An Updatable Adaptive Learned Index by Ding, Jialin, Minhas, Umar Farooq, Yu, Jia, Wang, Chi, Do, Jaeyoung, Li, Yinan, Zhang, Hantian, Chandramouli, Badrish, Gehrke, Johannes, Kossman, Donald, Lomet, David, Kraska, Tim

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A hierarchy of policies for adaptive optimization by Iancu, Dan Andrei, Parrilo, Pablo A., Bertsimas, Dimitris J

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Adapt2Learn: A Toolkit for Configuring the Learning Algorithm for Adaptive Physical Tools for Motor-Skill Learning by Turakhia, Dishita G, Wong, Andrew, Qi, Yini, Blumberg, Lotta-Gili, Kim, Yoonji, Mueller, Stefanie

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Adaptive residual DPCM for lossless intra coding by Cai, Xun, Lim, Jae S.

“…In this paper, we propose the adaptive residual DPCM (ARDPCM) for intra lossless coding. …”
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Co-regularized alignment for unsupervised domain adaptation by Kumar, Abhishek, Wadhawan, Kahini, Feris, Rogerio, Sattigeri, Prasanna, Karlinsky, Leonid, Freeman, William T., Wornell, Gregory

“…Unsupervised domain adaptation sets out to address this problem, aiming to learn a good predictive model for the target domain using labeled examples from the source domain but only unlabeled examples from the target domain. …”
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Adaptive Scheduling for Systems with Asymmetric Memory Hierarchies by Tsai, Po-An, Chen, Changping, Sanchez, Daniel

“…AMS is cheap enough to use online, so it adapts to program phases, and performs within 1% of an exhaustive-search scheduler. …”
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Escaping Saddle Points with Adaptive Gradient Methods by Staib, Matthew, Reddi, Sashank, Kale, Satyen, Kumar, Sanjiv, Sra, Suvrit

“…© 2019 International Machine Learning Society (IMLS). Adaptive methods such as Adam and RMSProp are widely used in deep learning but are not well understood. …”
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From Selective to Adaptive Security in Functional Encryption by Ananth, Prabhanjan, Brakerski, Zvika, Segev, Gil, Vaikuntanathan, Vinod

“…This so-called selective security is too restrictive for many realistic applications. Achieving adaptive security (also called full security), where security is guaranteed even for messages that are adaptively chosen at any point in time, seems significantly more challenging. …”
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Frequency-aware rate adaptation and MAC protocol by Rahul, Hariharan Shankar, Edalat, Farinaz, Katabi, Dina, Sodini, Charles G.

“…Second, instead of using one bit rate per link, it enables a sender to adapt the bitrate independently across frequencies based on these per-frequency SNRs. …”
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A dynamic programming approach to adaptive fractionation by Ramakrishnan, Jagdish, Craft, David, Bortfeld, Thomas, Tsitsiklis, John N.

“…We conduct a theoretical study of various solution methods for the adaptive fractionation problem. The two messages of this paper are as follows: (i) dynamic programming (DP) is a useful framework for adaptive radiation therapy, particularly adaptive fractionation, because it allows us to assess how close to optimal different methods are, and (ii) heuristic methods proposed in this paper are near-optimal, and therefore, can be used to evaluate the best possible benefit of using an adaptive fraction size. …”
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The locality-aware adaptive cache coherence protocol by Kurian, George, Khan, Omer, Devadas, Srinivas

“…We propose a scalable, efficient shared memory cache coherence protocol that enables seamless adaptation between private and logically shared caching of on-chip data at the fine granularity of cache lines. …”
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Coupled-Magnetic Filters With Adaptive Inductance Cancellation by Lymar, Daria S., Neugebauer, Timothy C., Perreault, David J.

“…Filter sensitivity to variations in coupling is overcome by adaptively tuning the magnetic circuit for minimum rms ripple performance with feedback based on the sensed filter output ripple. …”
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Basis Function Adaptation Methods for Cost Approximation in MDP by Yu, Huizhen, Bertsekas, Dimitri P.

“…We generalize a basis adaptation method for cost approximation in Markov decision processes (MDP), extending earlier work of Menache, Mannor, and Shimkin. …”
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