781 results on '"Ion Stoica"'
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202. Real-Time Machine Learning: The Missing Pieces.
203. DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations.
204. ZipG: A Memory-efficient Graph Store for Interactive Queries.
205. Occupy the cloud: distributed computing for the 99%.
206. A scalable distributed spatial index for the internet-of-things.
207. Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost.
208. Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.
209. Scaling Replicated State Machines with Compartmentalization [Technical Report].
210. HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline.
211. Mechanism Design with Bandit Feedback.
212. AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.
213. Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report].
214. Bipartisan Paxos: A Modular State Machine Replication Protocol.
215. Hoplite: Efficient Collective Communication for Task-Based Distributed Systems.
216. RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report).
217. ProTuner: Tuning Programs with Monte Carlo Tree Search.
218. Distributed Reinforcement Learning is a Dataflow Problem.
219. Online Learning Demands in Max-min Fairness.
220. Contrastive Code Representation Learning.
221. Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism.
222. EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding.
223. Hold 'em or fold 'em?: aggregation queries under performance variations.
224. Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics.
225. FairRide: Near-Optimal, Fair Cache Sharing.
226. HUG: Multi-Resource Fairness for Correlated and Elastic Demands.
227. CFA: A Practical Prediction System for Video QoE Optimization.
228. BlowFish: Dynamic Storage-Performance Tradeoff in Data Stores.
229. SparkR: Scaling R Programs with Spark.
230. iOLAP: Managing Uncertainty for Efficient Incremental OLAP.
231. Parametrized Hierarchical Procedures for Neural Programming.
232. Towards Fast and Scalable Graph Pattern Mining.
233. Monarch: Gaining Command on Geo-Distributed Graph Analytics.
234. CellIQ : Real-Time Cellular Network Analytics at Scale.
235. Succinct: Enabling Queries on Compressed Data.
236. C3: Internet-Scale Control Plane for Video Quality Optimization.
237. Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity.
238. G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data.
239. Efficient Coflow Scheduling Without Prior Knowledge.
240. Low Latency Geo-distributed Data Analytics.
241. FastLane: making short flows shorter with agile drop notification.
242. Systems and ML: When the Sum is Greater than Its Parts.
243. Waldo: A Private Time-Series Database from Function Secret Sharing.
244. Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures.
245. SysML: The New Frontier of Machine Learning Systems.
246. IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks.
247. The OoO VLIW JIT Compiler for GPU Inference.
248. Dynamic Space-Time Scheduling for GPU Inference.
249. Selectivity Estimation with Deep Likelihood Models.
250. Deep Reinforcement Learning in System Optimization.
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