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researcher

E. Bakshy

33 papers hereh-index 3211.5k citations78 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author25

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.LG23
  • stat.ML4
  • cs.AI2
  • cs.NI1
  • cs.PL1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedReal-world Video Adaptation with Reinforcement Learning

45 citations · 106 across the 26 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.NI2020★ 45 cited

Real-world Video Adaptation with Reinforcement Learning

Hongzi Mao, Shannon Chen, Drew Dimmery +5

Client-side video players employ adaptive bitrate (ABR) algorithms to optimize user quality of experience (QoE). We evaluate recently proposed RL-based ABR methods in Facebook's we…

stat.ML2020

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Samuel Daulton, Maximilian Balandat, Eytan Bakshy

In many real-world scenarios, decision makers seek to efficiently optimize multiple competing objectives in a sample-efficient fashion. Multi-objective Bayesian optimization (BO) i…

stat.ML2020

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Benjamin Letham, Roberto Calandra, Akshara Rai +1

Bayesian optimization (BO) is a popular approach to optimize expensive-to-evaluate black-box functions. A significant challenge in BO is to scale to high-dimensional parameter spac…

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